{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\u0844867\Dropbox\Non-Party Government\Working papers\Regular order paper\JOP submission\_FINAL SUBMISSION\data and logs\currylee-JOP-StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 6 Dec 2018, 13:28:44

{com}. do "C:\Users\u0844867\Dropbox\Non-Party Government\Working papers\Regular order paper\JOP submission\_FINAL SUBMISSION\data and logs\currylee-JOP-allanalyses.do"
{txt}
{com}. *************************************************************************************
. **** What is Regular Order Worth? Partisan Lawmaking and Congressional Processes ****
. ** James M. Curry & Frances E. Lee **
. *************************************
. 
. ** Commands to replicate tables and figures **
. 
. use "currylee-JOP-data.dta", clear
{txt}
{com}. 
. ****************
. **** FIG. 1 ****
. ****************
. * pre-formatted
. 
. * bill development indexes over time
. egen hcommmean = mean(hcomm_index), by(cong)
{txt}
{com}. egen scommmean = mean(scomm_index), by(cong)
{txt}
{com}. egen allcommmean = mean(allcomm_index), by(cong)
{txt}
{com}. line allcommmean hcommmean scommmean cong, title("Unorthodox Development") xtitle("Congress") yscale(range(0 .8)) ylabel(0(.2).8) xscale(range(100 114)) xlabel(100(2)114) legend(position(6) rows(1) order(1 "All" 2 "House" 3 "Senate")) saving(commmeans, replace)
{res}{txt}(file commmeans.gph saved)

{com}. * bill management indexes over time
. egen hfloormean = mean(hfloor_index), by(cong)
{txt}
{com}. egen sfloormean = mean(sfloor_index), by(cong)
{txt}
{com}. egen allfloormean = mean(allfloor_index), by(cong)
{txt}
{com}. line allfloormean hfloormean sfloormean cong, title("Unorthdox Management") xtitle("Congress") yscale(range(0 .8)) ylabel(0(.2).8) xscale(range(100 114)) xlabel(100(2)114) legend(position(6) rows(1) order(1 "All" 2 "House" 3 "Senate")) saving(floormeans, replace)
{res}{txt}(file floormeans.gph saved)

{com}. *combine
. gr combine commmeans.gph floormeans.gph
{res}{txt}
{com}. 
. 
. *****************
. **** TABLE 1 ****
. *****************
. eststo: mixed house1_percmin hcomm_index hfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-162.97852}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-162.97852}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    46.31
{txt}Log likelihood = {res}-162.97852{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}house1_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hcomm_index {c |}{col 16}{res}{space 2} .1101619{col 28}{space 2} .0369327{col 39}{space 1}    2.98{col 48}{space 3}0.003{col 56}{space 4} .0377751{col 69}{space 3} .1825488
{txt}{space 2}hfloor_index {c |}{col 16}{res}{space 2}-.2911447{col 28}{space 2} .0483269{col 39}{space 1}   -6.02{col 48}{space 3}0.000{col 56}{space 4}-.3858637{col 69}{space 3}-.1964258
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.1035497{col 28}{space 2} .0307216{col 39}{space 1}   -3.37{col 48}{space 3}0.001{col 56}{space 4} -.163763{col 69}{space 3}-.0433364
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  .784872{col 28}{space 2} .0377232{col 39}{space 1}   20.81{col 48}{space 3}0.000{col 56}{space 4}  .710936{col 69}{space 3} .8588081
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0084239{col 44} .0039275{col 58}  .003378{col 70} .0210071
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0059357{col 44} .0033089{col 58} .0019905{col 70}    .0177
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0927377{col 44} .0054031{col 58} .0827302{col 70} .1039558
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}44.43{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit house1_pv50 hcomm_index hfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-362.53814}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-359.40071}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-357.35227}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-357.35227}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-357.04856}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-356.98712}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -356.9871}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.68
{txt}Log likelihood = {res} -356.9871{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2}-.1378314{col 26}{space 2} .2739679{col 37}{space 1}   -0.50{col 46}{space 3}0.615{col 54}{space 4}-.6747986{col 67}{space 3} .3991358
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.701008{col 26}{space 2} .3623004{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .9909123{col 67}{space 3} 2.411104
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .2559999{col 26}{space 2} .2348477{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2042931{col 67}{space 3} .7162929
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.438106{col 26}{space 2} .2616039{col 37}{space 1}   -5.50{col 46}{space 3}0.000{col 54}{space 4} -1.95084{col 67}{space 3}-.9253718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .2525313{col 44} .1434968{col 58} .0829151{col 70} .7691247
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3106427{col 44} .1880329{col 58} .0948476{col 70}  1.01741
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.44{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit house1_pv90 hcomm_index hfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-157.48771}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-153.69451}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-153.44168}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-153.44168}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-153.02762}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-152.62671}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-152.53342}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-152.53325}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-152.53325}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    11.90
{txt}Log likelihood = {res}-152.53325{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0077

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .0785253{col 26}{space 2} .4245137{col 37}{space 1}    0.18{col 46}{space 3}0.853{col 54}{space 4}-.7535063{col 67}{space 3} .9105569
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.897402{col 26}{space 2} .5906932{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .7396643{col 67}{space 3} 3.055139
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3965683{col 26}{space 2} .3782102{col 37}{space 1}    1.05{col 46}{space 3}0.294{col 54}{space 4}  -.34471{col 67}{space 3} 1.137847
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.557044{col 26}{space 2}  .375832{col 37}{space 1}   -9.46{col 46}{space 3}0.000{col 54}{space 4}-4.293661{col 67}{space 3}-2.820427
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .1601758{col 44} .2405401{col 58} .0084397{col 70} 3.039962
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .2955598{col 44} .2881658{col 58} .0437258{col 70} 1.997802
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}2.53{col 59}{txt}Prob > chi2 ={col 73}{res}0.2828

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed housef_percmin allcomm_index allfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-65.587135}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.587134}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    20.36
{txt}Log likelihood = {res}-65.587134{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0828462{col 28}{space 2} .0353899{col 39}{space 1}    2.34{col 48}{space 3}0.019{col 56}{space 4} .0134832{col 69}{space 3} .1522092
{txt}allfloor_index {c |}{col 16}{res}{space 2} -.283175{col 28}{space 2} .0649197{col 39}{space 1}   -4.36{col 48}{space 3}0.000{col 56}{space 4}-.4104153{col 69}{space 3}-.1559348
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0027111{col 28}{space 2} .0267944{col 39}{space 1}   -0.10{col 48}{space 3}0.919{col 56}{space 4}-.0552272{col 69}{space 3} .0498049
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8367501{col 28}{space 2} .0422982{col 39}{space 1}   19.78{col 48}{space 3}0.000{col 56}{space 4} .7538472{col 69}{space 3}  .919653
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0147272{col 44} .0060476{col 58} .0065854{col 70}  .032935
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0046016{col 44}  .002491{col 58} .0015927{col 70} .0132953
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0664872{col 44} .0038745{col 58} .0593109{col 70} .0745317
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}91.45{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit housef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-311.22332}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-307.86862}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.76251}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-307.76251}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-307.17146}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.01073}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-307.01065}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-307.01065}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    16.13
{txt}Log likelihood = {res}-307.01065{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0011

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} -.082737{col 28}{space 2} .3295851{col 39}{space 1}   -0.25{col 48}{space 3}0.802{col 56}{space 4}-.7287119{col 69}{space 3} .5632379
{txt}allfloor_index {c |}{col 16}{res}{space 2}  2.05611{col 28}{space 2} .5900717{col 39}{space 1}    3.48{col 48}{space 3}0.000{col 56}{space 4} .8995904{col 69}{space 3} 3.212629
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2406678{col 28}{space 2}  .268151{col 39}{space 1}   -0.90{col 48}{space 3}0.369{col 56}{space 4}-.7662342{col 69}{space 3} .2848986
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.851011{col 28}{space 2} .3166709{col 39}{space 1}   -5.85{col 48}{space 3}0.000{col 56}{space 4}-2.471675{col 69}{space 3}-1.230348
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .4190122{col 44} .2163878{col 58} .1522811{col 70} 1.152941
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3372066{col 44} .2106725{col 58} .0991062{col 70} 1.147337
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}30.30{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit housef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-74.476007}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-71.802561}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-71.465803}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-71.465803}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-69.467908}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-68.959834}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-68.934194}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-68.933884}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-68.933884}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     5.80
{txt}Log likelihood = {res}-68.933884{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1215

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.3473086{col 28}{space 2} .7053057{col 39}{space 1}   -0.49{col 48}{space 3}0.622{col 56}{space 4}-1.729682{col 69}{space 3} 1.035065
{txt}allfloor_index {c |}{col 16}{res}{space 2}  2.50665{col 28}{space 2} 1.204832{col 39}{space 1}    2.08{col 48}{space 3}0.037{col 56}{space 4} .1452234{col 69}{space 3} 4.868077
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.6845297{col 28}{space 2} .6939858{col 39}{space 1}   -0.99{col 48}{space 3}0.324{col 56}{space 4}-2.044717{col 69}{space 3} .6756575
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-6.169129{col 28}{space 2} 1.416444{col 39}{space 1}   -4.36{col 48}{space 3}0.000{col 56}{space 4}-8.945308{col 69}{space 3}-3.392951
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 5.293201{col 44} 5.198943{col 58} .7721018{col 70} 36.28793
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8929815{col 44} .9210505{col 58} .1182729{col 70}  6.74217
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}20.10{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}hcomm_index {res}        0.110**       -0.138         0.0785                                               {txt}
            {res} {ralign 12:{txt:(}0.0369{txt:)}}   {ralign 12:{txt:(}0.274{txt:)}}   {ralign 12:{txt:(}0.425{txt:)}}                                               {txt}

{txt}hfloor_index{res}       -0.291**        1.701**        1.897**                                             {txt}
            {res} {ralign 12:{txt:(}0.0483{txt:)}}   {ralign 12:{txt:(}0.362{txt:)}}   {ralign 12:{txt:(}0.591{txt:)}}                                               {txt}

{txt}approps     {res}       -0.104**        0.256          0.397       -0.00271         -0.241         -0.685  {txt}
            {res} {ralign 12:{txt:(}0.0307{txt:)}}   {ralign 12:{txt:(}0.235{txt:)}}   {ralign 12:{txt:(}0.378{txt:)}}   {ralign 12:{txt:(}0.0268{txt:)}}   {ralign 12:{txt:(}0.268{txt:)}}   {ralign 12:{txt:(}0.694{txt:)}}  {txt}

{txt}allcomm_in~x{res}                                                    0.0828*       -0.0827         -0.347  {txt}
            {res}                                              {ralign 12:{txt:(}0.0354{txt:)}}   {ralign 12:{txt:(}0.330{txt:)}}   {ralign 12:{txt:(}0.705{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.283**        2.056**        2.507* {txt}
            {res}                                              {ralign 12:{txt:(}0.0649{txt:)}}   {ralign 12:{txt:(}0.590{txt:)}}   {ralign 12:{txt:(}1.205{txt:)}}  {txt}

{txt}_cons       {res}        0.785**       -1.438**       -3.557**        0.837**       -1.851**       -6.169**{txt}
            {res} {ralign 12:{txt:(}0.0377{txt:)}}   {ralign 12:{txt:(}0.262{txt:)}}   {ralign 12:{txt:(}0.376{txt:)}}   {ralign 12:{txt:(}0.0423{txt:)}}   {ralign 12:{txt:(}0.317{txt:)}}   {ralign 12:{txt:(}1.416{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.388**       -0.688*        -0.916         -2.109**       -0.435          0.833  {txt}
            {res} {ralign 12:{txt:(}0.233{txt:)}}   {ralign 12:{txt:(}0.284{txt:)}}   {ralign 12:{txt:(}0.751{txt:)}}   {ralign 12:{txt:(}0.205{txt:)}}   {ralign 12:{txt:(}0.258{txt:)}}   {ralign 12:{txt:(}0.491{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.563**       -0.585         -0.609         -2.691**       -0.544        -0.0566  {txt}
            {res} {ralign 12:{txt:(}0.279{txt:)}}   {ralign 12:{txt:(}0.303{txt:)}}   {ralign 12:{txt:(}0.487{txt:)}}   {ralign 12:{txt:(}0.271{txt:)}}   {ralign 12:{txt:(}0.312{txt:)}}   {ralign 12:{txt:(}0.516{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.189**                                     -1.355**                              {txt}
            {res} {ralign 12:{txt:(}0.0291{txt:)}}                                 {ralign 12:{txt:(}0.0291{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. 
. ****************
. **** FIG. 2 ****
. ****************
. * pre-formatted
. 
. * House Initial - % minority
. mixed house1_percmin hcomm_index hfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-162.97852}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-162.97852}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    46.31
{txt}Log likelihood = {res}-162.97852{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}house1_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hcomm_index {c |}{col 16}{res}{space 2} .1101619{col 28}{space 2} .0369327{col 39}{space 1}    2.98{col 48}{space 3}0.003{col 56}{space 4} .0377751{col 69}{space 3} .1825488
{txt}{space 2}hfloor_index {c |}{col 16}{res}{space 2}-.2911447{col 28}{space 2} .0483269{col 39}{space 1}   -6.02{col 48}{space 3}0.000{col 56}{space 4}-.3858637{col 69}{space 3}-.1964258
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.1035497{col 28}{space 2} .0307216{col 39}{space 1}   -3.37{col 48}{space 3}0.001{col 56}{space 4} -.163763{col 69}{space 3}-.0433364
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  .784872{col 28}{space 2} .0377232{col 39}{space 1}   20.81{col 48}{space 3}0.000{col 56}{space 4}  .710936{col 69}{space 3} .8588081
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0084239{col 44} .0039275{col 58}  .003378{col 70} .0210071
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0059357{col 44} .0033089{col 58} .0019905{col 70}    .0177
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0927377{col 44} .0054031{col 58} .0827302{col 70} .1039558
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}44.43{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(hcomm_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .6622965{col 26}{space 2} .0345811{col 37}{space 1}   19.15{col 46}{space 3}0.000{col 54}{space 4} .5945189{col 67}{space 3} .7300742
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6733127{col 26}{space 2} .0338952{col 37}{space 1}   19.86{col 46}{space 3}0.000{col 54}{space 4} .6068793{col 67}{space 3} .7397461
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .6843289{col 26}{space 2} .0336035{col 37}{space 1}   20.36{col 46}{space 3}0.000{col 54}{space 4} .6184672{col 67}{space 3} .7501906
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .6953451{col 26}{space 2} .0337164{col 37}{space 1}   20.62{col 46}{space 3}0.000{col 54}{space 4} .6292622{col 67}{space 3} .7614279
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .7063613{col 26}{space 2} .0342296{col 37}{space 1}   20.64{col 46}{space 3}0.000{col 54}{space 4} .6392724{col 67}{space 3} .7734501
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .7173775{col 26}{space 2} .0351258{col 37}{space 1}   20.42{col 46}{space 3}0.000{col 54}{space 4} .6485321{col 67}{space 3} .7862228
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .7283937{col 26}{space 2} .0363766{col 37}{space 1}   20.02{col 46}{space 3}0.000{col 54}{space 4} .6570967{col 67}{space 3} .7996906
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .7394099{col 26}{space 2}  .037947{col 37}{space 1}   19.49{col 46}{space 3}0.000{col 54}{space 4}  .665035{col 67}{space 3} .8137847
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7504261{col 26}{space 2} .0397992{col 37}{space 1}   18.86{col 46}{space 3}0.000{col 54}{space 4} .6724211{col 67}{space 3}  .828431
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .7614422{col 26}{space 2} .0418957{col 37}{space 1}   18.17{col 46}{space 3}0.000{col 54}{space 4} .6793281{col 67}{space 3} .8435564
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .7724584{col 26}{space 2} .0442019{col 37}{space 1}   17.48{col 46}{space 3}0.000{col 54}{space 4} .6858242{col 67}{space 3} .8590927
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hcomm1rice
{txt}
{com}. mixed house1_percmin hcomm_index hfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-162.97852}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-162.97852}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    46.31
{txt}Log likelihood = {res}-162.97852{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}house1_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hcomm_index {c |}{col 16}{res}{space 2} .1101619{col 28}{space 2} .0369327{col 39}{space 1}    2.98{col 48}{space 3}0.003{col 56}{space 4} .0377751{col 69}{space 3} .1825488
{txt}{space 2}hfloor_index {c |}{col 16}{res}{space 2}-.2911447{col 28}{space 2} .0483269{col 39}{space 1}   -6.02{col 48}{space 3}0.000{col 56}{space 4}-.3858637{col 69}{space 3}-.1964258
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.1035497{col 28}{space 2} .0307216{col 39}{space 1}   -3.37{col 48}{space 3}0.001{col 56}{space 4} -.163763{col 69}{space 3}-.0433364
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  .784872{col 28}{space 2} .0377232{col 39}{space 1}   20.81{col 48}{space 3}0.000{col 56}{space 4}  .710936{col 69}{space 3} .8588081
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0084239{col 44} .0039275{col 58}  .003378{col 70} .0210071
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0059357{col 44} .0033089{col 58} .0019905{col 70}    .0177
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0927377{col 44} .0054031{col 58} .0827302{col 70} .1039558
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}44.43{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(hfloor_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .768755{col 26}{space 2} .0363997{col 37}{space 1}   21.12{col 46}{space 3}0.000{col 54}{space 4} .6974129{col 67}{space 3}  .840097
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7396405{col 26}{space 2} .0348249{col 37}{space 1}   21.24{col 46}{space 3}0.000{col 54}{space 4}  .671385{col 67}{space 3}  .807896
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .710526{col 26}{space 2} .0338721{col 37}{space 1}   20.98{col 46}{space 3}0.000{col 54}{space 4}  .644138{col 67}{space 3} .7769141
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .6814115{col 26}{space 2} .0335942{col 37}{space 1}   20.28{col 46}{space 3}0.000{col 54}{space 4}  .615568{col 67}{space 3} .7472551
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .6522971{col 26}{space 2} .0340079{col 37}{space 1}   19.18{col 46}{space 3}0.000{col 54}{space 4} .5856428{col 67}{space 3} .7189514
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .6231826{col 26}{space 2} .0350887{col 37}{space 1}   17.76{col 46}{space 3}0.000{col 54}{space 4} .5544101{col 67}{space 3} .6919551
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .5940681{col 26}{space 2} .0367777{col 37}{space 1}   16.15{col 46}{space 3}0.000{col 54}{space 4} .5219852{col 67}{space 3} .6661511
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .5649537{col 26}{space 2} .0389961{col 37}{space 1}   14.49{col 46}{space 3}0.000{col 54}{space 4} .4885228{col 67}{space 3} .6413845
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5358392{col 26}{space 2} .0416593{col 37}{space 1}   12.86{col 46}{space 3}0.000{col 54}{space 4} .4541885{col 67}{space 3} .6174899
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .5067247{col 26}{space 2} .0446879{col 37}{space 1}   11.34{col 46}{space 3}0.000{col 54}{space 4}  .419138{col 67}{space 3} .5943115
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .4776102{col 26}{space 2} .0480129{col 37}{space 1}    9.95{col 46}{space 3}0.000{col 54}{space 4} .3835068{col 67}{space 3} .5717137
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hfloor1rice
{txt}
{com}. coefplot hcomm1rice hfloor1rice, ///
>         at xtitle("process unorthodoxy") title("% minority party support - Initial passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(h1rice, replace)
{res}{txt}(file h1rice.gph saved)

{com}. * House Initial - 50% party vote
. meqrlogit house1_pv50 hcomm_index hfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-362.53814}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-359.40071}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-357.35227}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-357.35227}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-357.04856}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-356.98712}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -356.9871}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.68
{txt}Log likelihood = {res} -356.9871{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2}-.1378314{col 26}{space 2} .2739679{col 37}{space 1}   -0.50{col 46}{space 3}0.615{col 54}{space 4}-.6747986{col 67}{space 3} .3991358
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.701008{col 26}{space 2} .3623004{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .9909123{col 67}{space 3} 2.411104
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .2559999{col 26}{space 2} .2348477{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2042931{col 67}{space 3} .7162929
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.438106{col 26}{space 2} .2616039{col 37}{space 1}   -5.50{col 46}{space 3}0.000{col 54}{space 4} -1.95084{col 67}{space 3}-.9253718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .2525313{col 44} .1434968{col 58} .0829151{col 70} .7691247
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3106427{col 44} .1880329{col 58} .0948476{col 70}  1.01741
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.44{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(hcomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .306134{col 26}{space 2} .0461905{col 37}{space 1}    6.63{col 46}{space 3}0.000{col 54}{space 4} .2156023{col 67}{space 3} .3966657
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3033718{col 26}{space 2} .0448197{col 37}{space 1}    6.77{col 46}{space 3}0.000{col 54}{space 4} .2155267{col 67}{space 3} .3912169
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3006234{col 26}{space 2} .0441033{col 37}{space 1}    6.82{col 46}{space 3}0.000{col 54}{space 4} .2141825{col 67}{space 3} .3870642
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2978888{col 26}{space 2} .0440529{col 37}{space 1}    6.76{col 46}{space 3}0.000{col 54}{space 4} .2115466{col 67}{space 3} .3842309
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2951682{col 26}{space 2} .0446509{col 37}{space 1}    6.61{col 46}{space 3}0.000{col 54}{space 4}  .207654{col 67}{space 3} .3826823
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2924616{col 26}{space 2} .0458522{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4} .2025929{col 67}{space 3} .3823303
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2897693{col 26}{space 2} .0475923{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} .1964901{col 67}{space 3} .3830485
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2870913{col 26}{space 2} .0497965{col 37}{space 1}    5.77{col 46}{space 3}0.000{col 54}{space 4} .1894919{col 67}{space 3} .3846907
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .2844276{col 26}{space 2}  .052389{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .1817471{col 67}{space 3} .3871082
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .2817785{col 26}{space 2} .0552988{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} .1733949{col 67}{space 3} .3901621
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .279144{col 26}{space 2} .0584629{col 37}{space 1}    4.77{col 46}{space 3}0.000{col 54}{space 4} .1645588{col 67}{space 3} .3937292
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hcomm1pv50
{txt}
{com}. meqrlogit house1_pv50 hcomm_index hfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-362.53814}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-359.40071}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-357.35227}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-357.35227}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-357.04856}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-356.98712}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -356.9871}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.68
{txt}Log likelihood = {res} -356.9871{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2}-.1378314{col 26}{space 2} .2739679{col 37}{space 1}   -0.50{col 46}{space 3}0.615{col 54}{space 4}-.6747986{col 67}{space 3} .3991358
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.701008{col 26}{space 2} .3623004{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .9909123{col 67}{space 3} 2.411104
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .2559999{col 26}{space 2} .2348477{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2042931{col 67}{space 3} .7162929
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.438106{col 26}{space 2} .2616039{col 37}{space 1}   -5.50{col 46}{space 3}0.000{col 54}{space 4} -1.95084{col 67}{space 3}-.9253718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .2525313{col 44} .1434968{col 58} .0829151{col 70} .7691247
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3106427{col 44} .1880329{col 58} .0948476{col 70}  1.01741
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.44{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(hfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2038365{col 26}{space 2} .0402109{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} .1250245{col 67}{space 3} .2826484
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2327302{col 26}{space 2} .0417537{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4} .1508945{col 67}{space 3}  .314566
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2643494{col 26}{space 2}  .043718{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} .1786637{col 67}{space 3} .3500352
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2985821{col 26}{space 2} .0463482{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} .2077413{col 67}{space 3} .3894229
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3352175{col 26}{space 2} .0498209{col 37}{space 1}    6.73{col 46}{space 3}0.000{col 54}{space 4} .2375703{col 67}{space 3} .4328647
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3739423{col 26}{space 2} .0541751{col 37}{space 1}    6.90{col 46}{space 3}0.000{col 54}{space 4}  .267761{col 67}{space 3} .4801235
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .4143447{col 26}{space 2} .0592811{col 37}{space 1}    6.99{col 46}{space 3}0.000{col 54}{space 4} .2981558{col 67}{space 3} .5305335
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .455928{col 26}{space 2} .0648611{col 37}{space 1}    7.03{col 46}{space 3}0.000{col 54}{space 4} .3288027{col 67}{space 3} .5830533
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4981325{col 26}{space 2} .0705434{col 37}{space 1}    7.06{col 46}{space 3}0.000{col 54}{space 4} .3598701{col 67}{space 3}  .636395
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .5403641{col 26}{space 2} .0759257{col 37}{space 1}    7.12{col 46}{space 3}0.000{col 54}{space 4} .3915525{col 67}{space 3} .6891756
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .5820271{col 26}{space 2} .0806306{col 37}{space 1}    7.22{col 46}{space 3}0.000{col 54}{space 4} .4239941{col 67}{space 3} .7400601
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hfloor1pv50
{txt}
{com}. coefplot hcomm1pv50 hfloor1pv50, ///
>         at xtitle("process unorthodoxy") title("50% party vote - Initial passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(h1pv50, replace)
{res}{txt}(file h1pv50.gph saved)

{com}. * House Initial - 90% party vote
. meqrlogit house1_pv90 hcomm_index hfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-157.48771}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-153.69451}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-153.44168}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-153.44168}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-153.02762}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-152.62671}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-152.53342}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-152.53325}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-152.53325}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    11.90
{txt}Log likelihood = {res}-152.53325{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0077

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .0785253{col 26}{space 2} .4245137{col 37}{space 1}    0.18{col 46}{space 3}0.853{col 54}{space 4}-.7535063{col 67}{space 3} .9105569
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.897402{col 26}{space 2} .5906932{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .7396643{col 67}{space 3} 3.055139
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3965683{col 26}{space 2} .3782102{col 37}{space 1}    1.05{col 46}{space 3}0.294{col 54}{space 4}  -.34471{col 67}{space 3} 1.137847
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.557044{col 26}{space 2}  .375832{col 37}{space 1}   -9.46{col 46}{space 3}0.000{col 54}{space 4}-4.293661{col 67}{space 3}-2.820427
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .1601758{col 44} .2405401{col 58} .0084397{col 70} 3.039962
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .2955598{col 44} .2881658{col 58} .0437258{col 70} 1.997802
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}2.53{col 59}{txt}Prob > chi2 ={col 73}{res}0.2828

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(hcomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:hcomm_index}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0617622{col 26}{space 2} .0173075{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4}   .02784{col 67}{space 3} .0956843
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0622068{col 26}{space 2} .0168241{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} .0292323{col 67}{space 3} .0951813
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0626544{col 26}{space 2} .0166692{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .0299834{col 67}{space 3} .0953253
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0631049{col 26}{space 2} .0168654{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .0300493{col 67}{space 3} .0961605
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0635583{col 26}{space 2} .0174144{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .0294268{col 67}{space 3} .0976898
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0640147{col 26}{space 2} .0182974{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .0281526{col 67}{space 3} .0998769
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0644741{col 26}{space 2} .0194815{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4}  .026291{col 67}{space 3} .1026572
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0649365{col 26}{space 2} .0209278{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4} .0239187{col 67}{space 3} .1059542
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0654019{col 26}{space 2} .0225972{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0211122{col 67}{space 3} .1096915
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0658703{col 26}{space 2} .0244547{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .0179399{col 67}{space 3} .1138007
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0663417{col 26}{space 2}  .026471{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0144596{col 67}{space 3} .1182239
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hcomm1pv90
{txt}
{com}. meqrlogit house1_pv90 hcomm_index hfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-157.48771}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-153.69451}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-153.44168}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-153.44168}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-153.02762}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-152.62671}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-152.53342}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-152.53325}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-152.53325}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    11.90
{txt}Log likelihood = {res}-152.53325{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0077

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .0785253{col 26}{space 2} .4245137{col 37}{space 1}    0.18{col 46}{space 3}0.853{col 54}{space 4}-.7535063{col 67}{space 3} .9105569
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.897402{col 26}{space 2} .5906932{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .7396643{col 67}{space 3} 3.055139
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3965683{col 26}{space 2} .3782102{col 37}{space 1}    1.05{col 46}{space 3}0.294{col 54}{space 4}  -.34471{col 67}{space 3} 1.137847
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.557044{col 26}{space 2}  .375832{col 37}{space 1}   -9.46{col 46}{space 3}0.000{col 54}{space 4}-4.293661{col 67}{space 3}-2.820427
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .1601758{col 44} .2405401{col 58} .0084397{col 70} 3.039962
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .2955598{col 44} .2881658{col 58} .0437258{col 70} 1.997802
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}2.53{col 59}{txt}Prob > chi2 ={col 73}{res}0.2828

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(hfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:hfloor_index}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0333762{col 26}{space 2} .0111192{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4}  .011583{col 67}{space 3} .0551694
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0400601{col 26}{space 2} .0121336{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .0162786{col 67}{space 3} .0638416
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0480138{col 26}{space 2} .0135038{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .0215468{col 67}{space 3} .0744808
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0574489{col 26}{space 2} .0155005{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .0270684{col 67}{space 3} .0878294
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0686002{col 26}{space 2} .0184664{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .0324066{col 67}{space 3} .1047937
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0817225{col 26}{space 2} .0227641{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .0371057{col 67}{space 3} .1263393
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0970857{col 26}{space 2} .0287252{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} .0407853{col 67}{space 3} .1533861
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1149654{col 26}{space 2} .0366277{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0431763{col 67}{space 3} .1867544
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .1356306{col 26}{space 2} .0466896{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0441207{col 67}{space 3} .2271405
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1593259{col 26}{space 2} .0590566{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0435772{col 67}{space 3} .2750746
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .1862501{col 26}{space 2} .0737754{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0416529{col 67}{space 3} .3308473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hfloor1pv90
{txt}
{com}. coefplot hcomm1pv90 hfloor1pv90, ///
>         at xtitle("process unorthodoxy") title("90% party vote - Initial passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(h1pv90, replace)
{res}{txt}(file h1pv90.gph saved)

{com}. * House Final - % minority
. mixed housef_percmin allcomm_index allfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-65.587135}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.587134}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    20.36
{txt}Log likelihood = {res}-65.587134{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0828462{col 28}{space 2} .0353899{col 39}{space 1}    2.34{col 48}{space 3}0.019{col 56}{space 4} .0134832{col 69}{space 3} .1522092
{txt}allfloor_index {c |}{col 16}{res}{space 2} -.283175{col 28}{space 2} .0649197{col 39}{space 1}   -4.36{col 48}{space 3}0.000{col 56}{space 4}-.4104153{col 69}{space 3}-.1559348
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0027111{col 28}{space 2} .0267944{col 39}{space 1}   -0.10{col 48}{space 3}0.919{col 56}{space 4}-.0552272{col 69}{space 3} .0498049
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8367501{col 28}{space 2} .0422982{col 39}{space 1}   19.78{col 48}{space 3}0.000{col 56}{space 4} .7538472{col 69}{space 3}  .919653
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0147272{col 44} .0060476{col 58} .0065854{col 70}  .032935
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0046016{col 44}  .002491{col 58} .0015927{col 70} .0132953
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0664872{col 44} .0038745{col 58} .0593109{col 70} .0745317
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}91.45{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(allcomm_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7674154{col 26}{space 2} .0386688{col 37}{space 1}   19.85{col 46}{space 3}0.000{col 54}{space 4}  .691626{col 67}{space 3} .8432048
{txt}{space 10}2  {c |}{col 14}{res}{space 2}    .7757{col 26}{space 2} .0379826{col 37}{space 1}   20.42{col 46}{space 3}0.000{col 54}{space 4} .7012554{col 67}{space 3} .8501445
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .7839846{col 26}{space 2} .0376183{col 37}{space 1}   20.84{col 46}{space 3}0.000{col 54}{space 4} .7102542{col 67}{space 3}  .857715
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .7922692{col 26}{space 2} .0375851{col 37}{space 1}   21.08{col 46}{space 3}0.000{col 54}{space 4} .7186039{col 67}{space 3} .8659346
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .8005538{col 26}{space 2} .0378839{col 37}{space 1}   21.13{col 46}{space 3}0.000{col 54}{space 4} .7263028{col 67}{space 3} .8748049
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .8088385{col 26}{space 2}  .038507{col 37}{space 1}   21.00{col 46}{space 3}0.000{col 54}{space 4} .7333661{col 67}{space 3} .8843108
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .8171231{col 26}{space 2} .0394391{col 37}{space 1}   20.72{col 46}{space 3}0.000{col 54}{space 4} .7398239{col 67}{space 3} .8944222
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .8254077{col 26}{space 2} .0406588{col 37}{space 1}   20.30{col 46}{space 3}0.000{col 54}{space 4} .7457179{col 67}{space 3} .9050975
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .8336923{col 26}{space 2} .0421413{col 37}{space 1}   19.78{col 46}{space 3}0.000{col 54}{space 4} .7510969{col 67}{space 3} .9162877
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .8419769{col 26}{space 2} .0438598{col 37}{space 1}   19.20{col 46}{space 3}0.000{col 54}{space 4} .7560133{col 67}{space 3} .9279406
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .8502616{col 26}{space 2} .0457879{col 37}{space 1}   18.57{col 46}{space 3}0.000{col 54}{space 4}  .760519{col 67}{space 3} .9400041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hcommfrice
{txt}
{com}. mixed housef_percmin allcomm_index allfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-65.587135}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.587134}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    20.36
{txt}Log likelihood = {res}-65.587134{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0828462{col 28}{space 2} .0353899{col 39}{space 1}    2.34{col 48}{space 3}0.019{col 56}{space 4} .0134832{col 69}{space 3} .1522092
{txt}allfloor_index {c |}{col 16}{res}{space 2} -.283175{col 28}{space 2} .0649197{col 39}{space 1}   -4.36{col 48}{space 3}0.000{col 56}{space 4}-.4104153{col 69}{space 3}-.1559348
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0027111{col 28}{space 2} .0267944{col 39}{space 1}   -0.10{col 48}{space 3}0.919{col 56}{space 4}-.0552272{col 69}{space 3} .0498049
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8367501{col 28}{space 2} .0422982{col 39}{space 1}   19.78{col 48}{space 3}0.000{col 56}{space 4} .7538472{col 69}{space 3}  .919653
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0147272{col 44} .0060476{col 58} .0065854{col 70}  .032935
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0046016{col 44}  .002491{col 58} .0015927{col 70} .0132953
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0664872{col 44} .0038745{col 58} .0593109{col 70} .0745317
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}91.45{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(allfloor_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8570634{col 26}{space 2}  .041045{col 37}{space 1}   20.88{col 46}{space 3}0.000{col 54}{space 4} .7766166{col 67}{space 3} .9375102
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8287459{col 26}{space 2} .0388787{col 37}{space 1}   21.32{col 46}{space 3}0.000{col 54}{space 4}  .752545{col 67}{space 3} .9049468
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8004284{col 26}{space 2} .0377188{col 37}{space 1}   21.22{col 46}{space 3}0.000{col 54}{space 4} .7265009{col 67}{space 3} .8743559
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .7721109{col 26}{space 2} .0376583{col 37}{space 1}   20.50{col 46}{space 3}0.000{col 54}{space 4} .6983019{col 67}{space 3} .8459199
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .7437934{col 26}{space 2} .0387025{col 37}{space 1}   19.22{col 46}{space 3}0.000{col 54}{space 4} .6679378{col 67}{space 3}  .819649
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .7154759{col 26}{space 2} .0407666{col 37}{space 1}   17.55{col 46}{space 3}0.000{col 54}{space 4} .6355749{col 67}{space 3} .7953769
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .6871584{col 26}{space 2} .0437062{col 37}{space 1}   15.72{col 46}{space 3}0.000{col 54}{space 4} .6014959{col 67}{space 3} .7728209
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .6588409{col 26}{space 2} .0473586{col 37}{space 1}   13.91{col 46}{space 3}0.000{col 54}{space 4} .5660197{col 67}{space 3} .7516621
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .6305234{col 26}{space 2} .0515727{col 37}{space 1}   12.23{col 46}{space 3}0.000{col 54}{space 4} .5294429{col 67}{space 3} .7316039
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .6022059{col 26}{space 2} .0562221{col 37}{space 1}   10.71{col 46}{space 3}0.000{col 54}{space 4} .4920125{col 67}{space 3} .7123993
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .5738884{col 26}{space 2} .0612079{col 37}{space 1}    9.38{col 46}{space 3}0.000{col 54}{space 4}  .453923{col 67}{space 3} .6938538
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hfloorfrice
{txt}
{com}. coefplot hcommfrice hfloorfrice, ///
>         at xtitle("process unorthodoxy") title("% minority party support - Final passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(hfrice, replace)
{res}{txt}(file hfrice.gph saved)

{com}. * House Final - 50% party vote
. meqrlogit housef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-311.22332}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-307.86862}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.76251}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-307.76251}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-307.17146}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.01073}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-307.01065}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-307.01065}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    16.13
{txt}Log likelihood = {res}-307.01065{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0011

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} -.082737{col 28}{space 2} .3295851{col 39}{space 1}   -0.25{col 48}{space 3}0.802{col 56}{space 4}-.7287119{col 69}{space 3} .5632379
{txt}allfloor_index {c |}{col 16}{res}{space 2}  2.05611{col 28}{space 2} .5900717{col 39}{space 1}    3.48{col 48}{space 3}0.000{col 56}{space 4} .8995904{col 69}{space 3} 3.212629
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2406678{col 28}{space 2}  .268151{col 39}{space 1}   -0.90{col 48}{space 3}0.369{col 56}{space 4}-.7662342{col 69}{space 3} .2848986
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.851011{col 28}{space 2} .3166709{col 39}{space 1}   -5.85{col 48}{space 3}0.000{col 56}{space 4}-2.471675{col 69}{space 3}-1.230348
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .4190122{col 44} .2163878{col 58} .1522811{col 70} 1.152941
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3372066{col 44} .2106725{col 58} .0991062{col 70} 1.147337
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}30.30{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allcomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2015951{col 26}{space 2} .0423392{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .1186118{col 67}{space 3} .2845785
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .200328{col 26}{space 2} .0406457{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .1206638{col 67}{space 3} .2799921
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1990666{col 26}{space 2} .0395464{col 37}{space 1}    5.03{col 46}{space 3}0.000{col 54}{space 4}  .121557{col 67}{space 3} .2765762
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1978109{col 26}{space 2} .0390738{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .1212278{col 67}{space 3} .2743941
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1965611{col 26}{space 2} .0392328{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .1196662{col 67}{space 3}  .273456
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  .195317{col 26}{space 2}  .039999{col 37}{space 1}    4.88{col 46}{space 3}0.000{col 54}{space 4} .1169204{col 67}{space 3} .2737137
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1940787{col 26}{space 2} .0413223{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .1130884{col 67}{space 3}  .275069
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1928462{col 26}{space 2}  .043136{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .1083011{col 67}{space 3} .2773913
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .1916194{col 26}{space 2} .0453668{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4} .1027021{col 67}{space 3} .2805367
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1903984{col 26}{space 2} .0479429{col 37}{space 1}    3.97{col 46}{space 3}0.000{col 54}{space 4} .0964321{col 67}{space 3} .2843647
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .1891832{col 26}{space 2}  .050799{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4}  .089619{col 67}{space 3} .2887474
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hcommfpv50
{txt}
{com}. meqrlogit housef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-311.22332}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-307.86862}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.76251}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-307.76251}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-307.17146}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.01073}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-307.01065}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-307.01065}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    16.13
{txt}Log likelihood = {res}-307.01065{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0011

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} -.082737{col 28}{space 2} .3295851{col 39}{space 1}   -0.25{col 48}{space 3}0.802{col 56}{space 4}-.7287119{col 69}{space 3} .5632379
{txt}allfloor_index {c |}{col 16}{res}{space 2}  2.05611{col 28}{space 2} .5900717{col 39}{space 1}    3.48{col 48}{space 3}0.000{col 56}{space 4} .8995904{col 69}{space 3} 3.212629
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2406678{col 28}{space 2}  .268151{col 39}{space 1}   -0.90{col 48}{space 3}0.369{col 56}{space 4}-.7662342{col 69}{space 3} .2848986
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.851011{col 28}{space 2} .3166709{col 39}{space 1}   -5.85{col 48}{space 3}0.000{col 56}{space 4}-2.471675{col 69}{space 3}-1.230348
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .4190122{col 44} .2163878{col 58} .1522811{col 70} 1.152941
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3372066{col 44} .2106725{col 58} .0991062{col 70} 1.147337
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}30.30{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .123252{col 26}{space 2} .0327465{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .0590701{col 67}{space 3} .1874338
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1472063{col 26}{space 2} .0347513{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .0790951{col 67}{space 3} .2153175
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1748805{col 26}{space 2}  .037742{col 37}{space 1}    4.63{col 46}{space 3}0.000{col 54}{space 4} .1009076{col 67}{space 3} .2488534
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2064892{col 26}{space 2} .0424677{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .1232541{col 67}{space 3} .2897243
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2421246{col 26}{space 2} .0495525{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .1450035{col 67}{space 3} .3392458
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2817158{col 26}{space 2} .0592197{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .1656473{col 67}{space 3} .3977844
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3249937{col 26}{space 2} .0712052{col 37}{space 1}    4.56{col 46}{space 3}0.000{col 54}{space 4} .1854341{col 67}{space 3} .4645533
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3714713{col 26}{space 2} .0848429{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .2051823{col 67}{space 3} .5377602
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4204467{col 26}{space 2} .0991983{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .2260216{col 67}{space 3} .6148719
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .4710341{col 26}{space 2} .1132002{col 37}{space 1}    4.16{col 46}{space 3}0.000{col 54}{space 4} .2491658{col 67}{space 3} .6929024
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .5222208{col 26}{space 2} .1257734{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .2757095{col 67}{space 3} .7687322
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hfloorfpv50
{txt}
{com}. coefplot hcommfpv50 hfloorfpv50, ///
>         at xtitle("process unorthodoxy") title("50% party vote - Final passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(hfpv50, replace)
{res}{txt}(file hfpv50.gph saved)

{com}. * House Final - 90% party vote
. meqrlogit housef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-74.476007}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-71.802561}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-71.465803}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-71.465803}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-69.467908}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-68.959834}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-68.934194}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-68.933884}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-68.933884}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     5.80
{txt}Log likelihood = {res}-68.933884{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1215

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.3473086{col 28}{space 2} .7053057{col 39}{space 1}   -0.49{col 48}{space 3}0.622{col 56}{space 4}-1.729682{col 69}{space 3} 1.035065
{txt}allfloor_index {c |}{col 16}{res}{space 2}  2.50665{col 28}{space 2} 1.204832{col 39}{space 1}    2.08{col 48}{space 3}0.037{col 56}{space 4} .1452234{col 69}{space 3} 4.868077
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.6845297{col 28}{space 2} .6939858{col 39}{space 1}   -0.99{col 48}{space 3}0.324{col 56}{space 4}-2.044717{col 69}{space 3} .6756575
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-6.169129{col 28}{space 2} 1.416444{col 39}{space 1}   -4.36{col 48}{space 3}0.000{col 56}{space 4}-8.945308{col 69}{space 3}-3.392951
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 5.293201{col 44} 5.198943{col 58} .7721018{col 70} 36.28793
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8929815{col 44} .9210505{col 58} .1182729{col 70}  6.74217
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}20.10{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allcomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0038574{col 26}{space 2} .0053903{col 37}{space 1}    0.72{col 46}{space 3}0.474{col 54}{space 4}-.0067074{col 67}{space 3} .0144223
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0037266{col 26}{space 2} .0051957{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.0064568{col 67}{space 3} .0139101
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0036002{col 26}{space 2} .0050207{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.0062402{col 67}{space 3} .0134406
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .003478{col 26}{space 2} .0048637{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.0060547{col 67}{space 3} .0130108
{txt}{space 10}5  {c |}{col 14}{res}{space 2}   .00336{col 26}{space 2} .0047233{col 37}{space 1}    0.71{col 46}{space 3}0.477{col 54}{space 4}-.0058975{col 67}{space 3} .0126175
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  .003246{col 26}{space 2} .0045979{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-.0057658{col 67}{space 3} .0122577
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0031358{col 26}{space 2} .0044861{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.0056568{col 67}{space 3} .0119284
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0030293{col 26}{space 2} .0043864{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4} -.005568{col 67}{space 3} .0116266
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0029264{col 26}{space 2} .0042976{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.0054967{col 67}{space 3} .0113495
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .002827{col 26}{space 2} .0042182{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-.0054405{col 67}{space 3} .0110945
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .002731{col 26}{space 2} .0041471{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.0053972{col 67}{space 3} .0108592
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hcommfpv90
{txt}
{com}. meqrlogit housef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-74.476007}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-71.802561}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-71.465803}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-71.465803}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-69.467908}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-68.959834}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-68.934194}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-68.933884}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-68.933884}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     5.80
{txt}Log likelihood = {res}-68.933884{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1215

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.3473086{col 28}{space 2} .7053057{col 39}{space 1}   -0.49{col 48}{space 3}0.622{col 56}{space 4}-1.729682{col 69}{space 3} 1.035065
{txt}allfloor_index {c |}{col 16}{res}{space 2}  2.50665{col 28}{space 2} 1.204832{col 39}{space 1}    2.08{col 48}{space 3}0.037{col 56}{space 4} .1452234{col 69}{space 3} 4.868077
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.6845297{col 28}{space 2} .6939858{col 39}{space 1}   -0.99{col 48}{space 3}0.324{col 56}{space 4}-2.044717{col 69}{space 3} .6756575
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-6.169129{col 28}{space 2} 1.416444{col 39}{space 1}   -4.36{col 48}{space 3}0.000{col 56}{space 4}-8.945308{col 69}{space 3}-3.392951
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 5.293201{col 44} 5.198943{col 58} .7721018{col 70} 36.28793
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8929815{col 44} .9210505{col 58} .1182729{col 70}  6.74217
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}20.10{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0015377{col 26}{space 2} .0021847{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0027443{col 67}{space 3} .0058196
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0019748{col 26}{space 2} .0027646{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4}-.0034437{col 67}{space 3} .0073933
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0025358{col 26}{space 2} .0035224{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0043679{col 67}{space 3} .0094395
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0032556{col 26}{space 2} .0045198{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4} -.005603{col 67}{space 3} .0121143
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0041788{col 26}{space 2} .0058402{col 37}{space 1}    0.72{col 46}{space 3}0.474{col 54}{space 4}-.0072678{col 67}{space 3} .0156255
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0053623{col 26}{space 2} .0075958{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-.0095251{col 67}{space 3} .0202497
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0068785{col 26}{space 2} .0099359{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0125955{col 67}{space 3} .0263525
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0088191{col 26}{space 2} .0130587{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.0167754{col 67}{space 3} .0344136
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0113005{col 26}{space 2} .0172241{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.0224581{col 67}{space 3} .0450591
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .014469{col 26}{space 2} .0227704{col 37}{space 1}    0.64{col 46}{space 3}0.525{col 54}{space 4}-.0301603{col 67}{space 3} .0590982
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0185076{col 26}{space 2} .0301324{col 37}{space 1}    0.61{col 46}{space 3}0.539{col 54}{space 4}-.0405507{col 67}{space 3}  .077566
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store hfloorfpv90
{txt}
{com}. coefplot hcommfpv90 hfloorfpv90, ///
>         at xtitle("process unorthodoxy") title("90% party vote - Final passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(hfpv90, replace)
{res}{txt}(file hfpv90.gph saved)

{com}. * combine
. gr combine h1rice.gph h1pv50.gph h1pv90.gph hfrice.gph hfpv50.gph hfpv90.gph 
{res}{txt}
{com}. 
. 
. *****************
. **** TABLE 2 ****
. *****************
. eststo: mixed senate1_percmin scomm_index sfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 55.843326}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 55.843326}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    21.60
{txt}Log likelihood = {res} 55.843326{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2}-.0298095{col 29}{space 2} .0232412{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4}-.0753614{col 70}{space 3} .0157424
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2}-.1744605{col 29}{space 2} .0394341{col 40}{space 1}   -4.42{col 49}{space 3}0.000{col 57}{space 4}-.2517498{col 70}{space 3}-.0971712
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0095591{col 29}{space 2} .0220237{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4}-.0527249{col 70}{space 3} .0336066
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8919293{col 29}{space 2} .0313126{col 40}{space 1}   28.48{col 49}{space 3}0.000{col 57}{space 4} .8305577{col 70}{space 3} .9533009
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0074873{col 44}  .003298{col 58} .0031578{col 70} .0177527
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0040641{col 44}  .002047{col 58} .0015143{col 70}  .010907
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0450186{col 44} .0026265{col 58} .0401543{col 70} .0504723
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}72.09{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit senate1_pv50 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-211.82651}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.71955}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.21324}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.19482}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-210.19476}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-210.19476}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.18
{txt}Log likelihood = {res}-210.19476{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} .7406736{col 26}{space 2} .3213323{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .1108739{col 67}{space 3} 1.370473
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.889296{col 26}{space 2} .4976288{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .9139619{col 67}{space 3} 2.864631
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.3298357{col 26}{space 2}  .350518{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-1.016838{col 67}{space 3}  .357167
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.869831{col 26}{space 2} .4180136{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-3.689123{col 67}{space 3} -2.05054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  .591377{col 44} .3528205{col 58} .1836667{col 70} 1.904138
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8538566{col 44} .5114264{col 58} .2639665{col 70} 2.761984
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}29.28{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit senate1_pv90 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-54.791162}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-52.566123}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-52.186345}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-52.186345}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-50.755037}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-50.642196}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-50.641374}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-50.641374}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     3.71
{txt}Log likelihood = {res}-50.641374{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2947

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2}  .998766{col 26}{space 2} .7456431{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.4626676{col 67}{space 3}   2.4602
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.154709{col 26}{space 2} 1.015842{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.8363048{col 67}{space 3} 3.145724
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.7944837{col 26}{space 2}  .954945{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-2.666142{col 67}{space 3} 1.077174
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.408992{col 26}{space 2} 1.342856{col 37}{space 1}   -4.77{col 46}{space 3}0.000{col 54}{space 4}-9.040942{col 67}{space 3}-3.777043
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 3.552306{col 44} 3.408379{col 58} .5417467{col 70} 23.29294
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.930556{col 44} 1.752537{col 58} .3258152{col 70} 11.43914
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}18.51{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed senatef_percmin allcomm_index allfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 66.970011}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 66.970012}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    14.13
{txt}Log likelihood = {res} 66.970012{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0027

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .0111767{col 29}{space 2} .0286001{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4}-.0448784{col 70}{space 3} .0672319
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2}-.1904397{col 29}{space 2}  .052465{col 40}{space 1}   -3.63{col 49}{space 3}0.000{col 57}{space 4}-.2932692{col 70}{space 3}-.0876102
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0092383{col 29}{space 2} .0215637{col 40}{space 1}   -0.43{col 49}{space 3}0.668{col 57}{space 4}-.0515023{col 70}{space 3} .0330258
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .9037666{col 29}{space 2} .0338377{col 40}{space 1}   26.71{col 49}{space 3}0.000{col 57}{space 4} .8374459{col 70}{space 3} .9700873
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0095846{col 44} .0040395{col 58} .0041959{col 70} .0218938
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0026184{col 44}  .001577{col 58} .0008042{col 70} .0085249
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0434907{col 44} .0025402{col 58} .0387865{col 70} .0487655
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}76.21{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-203.89876}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-202.33294}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-202.33294}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-202.33294}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-201.63959}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -201.5975}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-201.59744}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-201.59744}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    15.40
{txt}Log likelihood = {res}-201.59744{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0015

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .3899067{col 28}{space 2} .3979555{col 39}{space 1}    0.98{col 48}{space 3}0.327{col 56}{space 4}-.3900718{col 69}{space 3} 1.169885
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.215456{col 28}{space 2} .7104307{col 39}{space 1}    3.12{col 48}{space 3}0.002{col 56}{space 4} .8230379{col 69}{space 3} 3.607875
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2194189{col 28}{space 2}  .352105{col 39}{space 1}   -0.62{col 48}{space 3}0.533{col 56}{space 4} -.909532{col 69}{space 3} .4706942
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-3.167009{col 28}{space 2} .4590269{col 39}{space 1}   -6.90{col 48}{space 3}0.000{col 56}{space 4}-4.066685{col 69}{space 3}-2.267332
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .9082954{col 44} .5397287{col 58} .2834163{col 70} 2.910914
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .6518119{col 44} .4823572{col 58} .1528311{col 70} 2.779923
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.72{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit senatef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-49.882914}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-47.048262}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-46.474887}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-46.474887}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:  -43.5797}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-42.850994}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-42.801161}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-42.799398}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-42.799391}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res:-42.799391}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     2.27
{txt}Log likelihood = {res}-42.799391{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.5192

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .8001022{col 28}{space 2} .8947869{col 39}{space 1}    0.89{col 48}{space 3}0.371{col 56}{space 4}-.9536479{col 69}{space 3} 2.553852
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.3833786{col 28}{space 2} 1.769668{col 39}{space 1}   -0.22{col 48}{space 3}0.828{col 56}{space 4}-3.851863{col 69}{space 3} 3.085106
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.419571{col 28}{space 2} 1.220136{col 39}{space 1}   -1.16{col 48}{space 3}0.245{col 56}{space 4}-3.810994{col 69}{space 3} .9718521
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-8.057157{col 28}{space 2} 2.565004{col 39}{space 1}   -3.14{col 48}{space 3}0.002{col 56}{space 4}-13.08447{col 69}{space 3}-3.029842
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 11.73437{col 44} 15.21207{col 58} .9246748{col 70} 148.9123
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.611688{col 44} 3.188721{col 58} .6400197{col 70} 20.38107
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.68{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}scomm_index {res}      -0.0298          0.741*         0.999                                               {txt}
            {res} {ralign 12:{txt:(}0.0232{txt:)}}   {ralign 12:{txt:(}0.321{txt:)}}   {ralign 12:{txt:(}0.746{txt:)}}                                               {txt}

{txt}sfloor_index{res}       -0.174**        1.889**        1.155                                               {txt}
            {res} {ralign 12:{txt:(}0.0394{txt:)}}   {ralign 12:{txt:(}0.498{txt:)}}   {ralign 12:{txt:(}1.016{txt:)}}                                               {txt}

{txt}approps     {res}     -0.00956         -0.330         -0.794       -0.00924         -0.219         -1.420  {txt}
            {res} {ralign 12:{txt:(}0.0220{txt:)}}   {ralign 12:{txt:(}0.351{txt:)}}   {ralign 12:{txt:(}0.955{txt:)}}   {ralign 12:{txt:(}0.0216{txt:)}}   {ralign 12:{txt:(}0.352{txt:)}}   {ralign 12:{txt:(}1.220{txt:)}}  {txt}

{txt}allcomm_in~x{res}                                                    0.0112          0.390          0.800  {txt}
            {res}                                              {ralign 12:{txt:(}0.0286{txt:)}}   {ralign 12:{txt:(}0.398{txt:)}}   {ralign 12:{txt:(}0.895{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.190**        2.215**       -0.383  {txt}
            {res}                                              {ralign 12:{txt:(}0.0525{txt:)}}   {ralign 12:{txt:(}0.710{txt:)}}   {ralign 12:{txt:(}1.770{txt:)}}  {txt}

{txt}_cons       {res}        0.892**       -2.870**       -6.409**        0.904**       -3.167**       -8.057**{txt}
            {res} {ralign 12:{txt:(}0.0313{txt:)}}   {ralign 12:{txt:(}0.418{txt:)}}   {ralign 12:{txt:(}1.343{txt:)}}   {ralign 12:{txt:(}0.0338{txt:)}}   {ralign 12:{txt:(}0.459{txt:)}}   {ralign 12:{txt:(}2.565{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.447**       -0.263          0.634         -2.324**      -0.0481          1.231  {txt}
            {res} {ralign 12:{txt:(}0.220{txt:)}}   {ralign 12:{txt:(}0.298{txt:)}}   {ralign 12:{txt:(}0.480{txt:)}}   {ralign 12:{txt:(}0.211{txt:)}}   {ralign 12:{txt:(}0.297{txt:)}}   {ralign 12:{txt:(}0.648{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.753**      -0.0790          0.329         -2.973**       -0.214          0.642  {txt}
            {res} {ralign 12:{txt:(}0.252{txt:)}}   {ralign 12:{txt:(}0.299{txt:)}}   {ralign 12:{txt:(}0.454{txt:)}}   {ralign 12:{txt:(}0.301{txt:)}}   {ralign 12:{txt:(}0.370{txt:)}}   {ralign 12:{txt:(}0.441{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.550**                                     -1.568**                              {txt}
            {res} {ralign 12:{txt:(}0.0292{txt:)}}                                 {ralign 12:{txt:(}0.0292{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. 
. ****************
. **** FIG. 3 ****
. ****************
. * pre-formatted
. 
. * Senate Initial - Rice Index
. mixed senate1_percmin scomm_index sfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 55.843326}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 55.843326}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    21.60
{txt}Log likelihood = {res} 55.843326{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2}-.0298095{col 29}{space 2} .0232412{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4}-.0753614{col 70}{space 3} .0157424
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2}-.1744605{col 29}{space 2} .0394341{col 40}{space 1}   -4.42{col 49}{space 3}0.000{col 57}{space 4}-.2517498{col 70}{space 3}-.0971712
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0095591{col 29}{space 2} .0220237{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4}-.0527249{col 70}{space 3} .0336066
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8919293{col 29}{space 2} .0313126{col 40}{space 1}   28.48{col 49}{space 3}0.000{col 57}{space 4} .8305577{col 70}{space 3} .9533009
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0074873{col 44}  .003298{col 58} .0031578{col 70} .0177527
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0040641{col 44}  .002047{col 58} .0015143{col 70}  .010907
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0450186{col 44} .0026265{col 58} .0401543{col 70} .0504723
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}72.09{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(scomm_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8639193{col 26}{space 2} .0299195{col 37}{space 1}   28.87{col 46}{space 3}0.000{col 54}{space 4} .8052782{col 67}{space 3} .9225605
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8609384{col 26}{space 2} .0294465{col 37}{space 1}   29.24{col 46}{space 3}0.000{col 54}{space 4} .8032244{col 67}{space 3} .9186524
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8579574{col 26}{space 2} .0291515{col 37}{space 1}   29.43{col 46}{space 3}0.000{col 54}{space 4} .8008215{col 67}{space 3} .9150934
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8549765{col 26}{space 2} .0290402{col 37}{space 1}   29.44{col 46}{space 3}0.000{col 54}{space 4} .7980587{col 67}{space 3} .9118943
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .8519955{col 26}{space 2} .0291146{col 37}{space 1}   29.26{col 46}{space 3}0.000{col 54}{space 4} .7949319{col 67}{space 3} .9090591
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .8490146{col 26}{space 2} .0293733{col 37}{space 1}   28.90{col 46}{space 3}0.000{col 54}{space 4}  .791444{col 67}{space 3} .9065851
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .8460336{col 26}{space 2} .0298114{col 37}{space 1}   28.38{col 46}{space 3}0.000{col 54}{space 4} .7876043{col 67}{space 3} .9044629
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .8430527{col 26}{space 2} .0304213{col 37}{space 1}   27.71{col 46}{space 3}0.000{col 54}{space 4}  .783428{col 67}{space 3} .9026773
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .8400717{col 26}{space 2} .0311928{col 37}{space 1}   26.93{col 46}{space 3}0.000{col 54}{space 4} .7789349{col 67}{space 3} .9012086
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .8370908{col 26}{space 2} .0321144{col 37}{space 1}   26.07{col 46}{space 3}0.000{col 54}{space 4} .7741477{col 67}{space 3} .9000338
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .8341098{col 26}{space 2} .0331734{col 37}{space 1}   25.14{col 46}{space 3}0.000{col 54}{space 4} .7690911{col 67}{space 3} .8991286
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store scomm1rice
{txt}
{com}. mixed senate1_percmin scomm_index sfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 55.843326}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 55.843326}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    21.60
{txt}Log likelihood = {res} 55.843326{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2}-.0298095{col 29}{space 2} .0232412{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4}-.0753614{col 70}{space 3} .0157424
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2}-.1744605{col 29}{space 2} .0394341{col 40}{space 1}   -4.42{col 49}{space 3}0.000{col 57}{space 4}-.2517498{col 70}{space 3}-.0971712
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0095591{col 29}{space 2} .0220237{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4}-.0527249{col 70}{space 3} .0336066
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8919293{col 29}{space 2} .0313126{col 40}{space 1}   28.48{col 49}{space 3}0.000{col 57}{space 4} .8305577{col 70}{space 3} .9533009
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0074873{col 44}  .003298{col 58} .0031578{col 70} .0177527
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0040641{col 44}  .002047{col 58} .0015143{col 70}  .010907
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0450186{col 44} .0026265{col 58} .0401543{col 70} .0504723
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}72.09{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(sfloor_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8794369{col 26}{space 2} .0296593{col 37}{space 1}   29.65{col 46}{space 3}0.000{col 54}{space 4} .8213058{col 67}{space 3} .9375681
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8619909{col 26}{space 2} .0291125{col 37}{space 1}   29.61{col 46}{space 3}0.000{col 54}{space 4} .8049314{col 67}{space 3} .9190504
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8445448{col 26}{space 2} .0290948{col 37}{space 1}   29.03{col 46}{space 3}0.000{col 54}{space 4} .7875201{col 67}{space 3} .9015696
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8270988{col 26}{space 2}  .029607{col 37}{space 1}   27.94{col 46}{space 3}0.000{col 54}{space 4} .7690701{col 67}{space 3} .8851274
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .8096527{col 26}{space 2} .0306226{col 37}{space 1}   26.44{col 46}{space 3}0.000{col 54}{space 4} .7496336{col 67}{space 3} .8696719
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .7922067{col 26}{space 2} .0320938{col 37}{space 1}   24.68{col 46}{space 3}0.000{col 54}{space 4}  .729304{col 67}{space 3} .8551094
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .7747606{col 26}{space 2} .0339615{col 37}{space 1}   22.81{col 46}{space 3}0.000{col 54}{space 4} .7081973{col 67}{space 3}  .841324
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .7573146{col 26}{space 2} .0361643{col 37}{space 1}   20.94{col 46}{space 3}0.000{col 54}{space 4} .6864339{col 67}{space 3} .8281953
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7398685{col 26}{space 2} .0386449{col 37}{space 1}   19.15{col 46}{space 3}0.000{col 54}{space 4} .6641259{col 67}{space 3} .8156111
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .7224225{col 26}{space 2} .0413534{col 37}{space 1}   17.47{col 46}{space 3}0.000{col 54}{space 4} .6413714{col 67}{space 3} .8034736
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .7049764{col 26}{space 2} .0442479{col 37}{space 1}   15.93{col 46}{space 3}0.000{col 54}{space 4} .6182522{col 67}{space 3} .7917007
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store sfloor1rice
{txt}
{com}. coefplot scomm1rice sfloor1rice, ///
>         at xtitle("process unorthodoxy") title("% minority party support - Initial passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(s1rice, replace)
{res}{txt}(file s1rice.gph saved)

{com}. * Senate Initial - 50% party vote
. meqrlogit senate1_pv50 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-211.82651}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.71955}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.21324}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.19482}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-210.19476}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-210.19476}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.18
{txt}Log likelihood = {res}-210.19476{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} .7406736{col 26}{space 2} .3213323{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .1108739{col 67}{space 3} 1.370473
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.889296{col 26}{space 2} .4976288{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .9139619{col 67}{space 3} 2.864631
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.3298357{col 26}{space 2}  .350518{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-1.016838{col 67}{space 3}  .357167
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.869831{col 26}{space 2} .4180136{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-3.689123{col 67}{space 3} -2.05054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  .591377{col 44} .3528205{col 58} .1836667{col 70} 1.904138
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8538566{col 44} .5114264{col 58} .2639665{col 70} 2.761984
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}29.28{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(scomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0687106{col 26}{space 2} .0246127{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .0204706{col 67}{space 3} .1169507
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .073447{col 26}{space 2} .0254878{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0234917{col 67}{space 3} .1234022
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0784741{col 26}{space 2} .0265295{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .0264773{col 67}{space 3} .1304709
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0838053{col 26}{space 2} .0277752{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4}  .029367{col 67}{space 3} .1382437
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0894541{col 26}{space 2} .0292638{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .0320982{col 67}{space 3}   .14681
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0954339{col 26}{space 2} .0310337{col 37}{space 1}    3.08{col 46}{space 3}0.002{col 54}{space 4}  .034609{col 67}{space 3} .1562588
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1017579{col 26}{space 2} .0331213{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0368413{col 67}{space 3} .1666745
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1084393{col 26}{space 2} .0355598{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .0387434{col 67}{space 3} .1781351
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .1154909{col 26}{space 2} .0383778{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0402718{col 67}{space 3} .1907099
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1229252{col 26}{space 2} .0415994{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0413919{col 67}{space 3} .2044584
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .1307541{col 26}{space 2} .0452439{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0420777{col 67}{space 3} .2194304
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store scomm1pv50
{txt}
{com}. meqrlogit senate1_pv50 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-211.82651}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.71955}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.21324}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.19482}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-210.19476}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-210.19476}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.18
{txt}Log likelihood = {res}-210.19476{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} .7406736{col 26}{space 2} .3213323{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .1108739{col 67}{space 3} 1.370473
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.889296{col 26}{space 2} .4976288{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .9139619{col 67}{space 3} 2.864631
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.3298357{col 26}{space 2}  .350518{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-1.016838{col 67}{space 3}  .357167
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.869831{col 26}{space 2} .4180136{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-3.689123{col 67}{space 3} -2.05054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  .591377{col 44} .3528205{col 58} .1836667{col 70} 1.904138
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8538566{col 44} .5114264{col 58} .2639665{col 70} 2.761984
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}29.28{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(sfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0620754{col 26}{space 2} .0223671{col 37}{space 1}    2.78{col 46}{space 3}0.006{col 54}{space 4} .0182366{col 67}{space 3} .1059141
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .073891{col 26}{space 2} .0255098{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0238927{col 67}{space 3} .1238892
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0877185{col 26}{space 2} .0294248{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4}  .030047{col 67}{space 3}   .14539
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1038088{col 26}{space 2} .0343413{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4}  .036501{col 67}{space 3} .1711166
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1224106{col 26}{space 2} .0404937{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0430444{col 67}{space 3} .2017769
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1437568{col 26}{space 2} .0480902{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .0495017{col 67}{space 3} .2380118
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1680474{col 26}{space 2} .0572807{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .0557793{col 67}{space 3} .2803155
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1954306{col 26}{space 2} .0681262{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0619057{col 67}{space 3} .3289555
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .2259807{col 26}{space 2} .0805726{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .0680612{col 67}{space 3} .3839002
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .2596776{col 26}{space 2}   .09443{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0745982{col 67}{space 3} .4447571
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .2963887{col 26}{space 2}  .109361{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4}  .082045{col 67}{space 3} .5107323
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store sfloor1pv50
{txt}
{com}. coefplot scomm1pv50 sfloor1pv50, ///
>         at xtitle("process unorthodoxy") title("50% party vote - Initial passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(s1pv50, replace)
{res}{txt}(file s1pv50.gph saved)

{com}. * Senate Initial - 90% party vote
. meqrlogit senate1_pv90 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-54.791162}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-52.566123}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-52.186345}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-52.186345}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-50.755037}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-50.642196}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-50.641374}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-50.641374}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     3.71
{txt}Log likelihood = {res}-50.641374{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2947

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2}  .998766{col 26}{space 2} .7456431{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.4626676{col 67}{space 3}   2.4602
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.154709{col 26}{space 2} 1.015842{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.8363048{col 67}{space 3} 3.145724
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.7944837{col 26}{space 2}  .954945{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-2.666142{col 67}{space 3} 1.077174
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.408992{col 26}{space 2} 1.342856{col 37}{space 1}   -4.77{col 46}{space 3}0.000{col 54}{space 4}-9.040942{col 67}{space 3}-3.777043
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 3.552306{col 44} 3.408379{col 58} .5417467{col 70} 23.29294
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.930556{col 44} 1.752537{col 58} .3258152{col 70} 11.43914
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}18.51{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(scomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:scomm_index}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0016203{col 26}{space 2} .0021502{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4} -.002594{col 67}{space 3} .0058345
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0017901{col 26}{space 2} .0023502{col 37}{space 1}    0.76{col 46}{space 3}0.446{col 54}{space 4}-.0028163{col 67}{space 3} .0063964
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0019776{col 26}{space 2} .0025765{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.0030723{col 67}{space 3} .0070275
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0021847{col 26}{space 2} .0028335{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0033689{col 67}{space 3} .0077383
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0024134{col 26}{space 2} .0031262{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-.0037138{col 67}{space 3} .0085407
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0026661{col 26}{space 2} .0034602{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0041158{col 67}{space 3} .0094479
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .002945{col 26}{space 2} .0038421{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.0045853{col 67}{space 3} .0104753
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .003253{col 26}{space 2} .0042791{col 37}{space 1}    0.76{col 46}{space 3}0.447{col 54}{space 4}-.0051339{col 67}{space 3}   .01164
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0035931{col 26}{space 2} .0047797{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4} -.005775{col 67}{space 3} .0129612
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0039686{col 26}{space 2} .0053531{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0065234{col 67}{space 3} .0144605
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .004383{col 26}{space 2} .0060099{col 37}{space 1}    0.73{col 46}{space 3}0.466{col 54}{space 4}-.0073963{col 67}{space 3} .0161623
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store scomm1pv90
{txt}
{com}. meqrlogit senate1_pv90 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-54.791162}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-52.566123}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-52.186345}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-52.186345}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-50.755037}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-50.642196}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-50.641374}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-50.641374}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     3.71
{txt}Log likelihood = {res}-50.641374{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2947

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2}  .998766{col 26}{space 2} .7456431{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.4626676{col 67}{space 3}   2.4602
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.154709{col 26}{space 2} 1.015842{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.8363048{col 67}{space 3} 3.145724
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.7944837{col 26}{space 2}  .954945{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-2.666142{col 67}{space 3} 1.077174
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.408992{col 26}{space 2} 1.342856{col 37}{space 1}   -4.77{col 46}{space 3}0.000{col 54}{space 4}-9.040942{col 67}{space 3}-3.777043
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 3.552306{col 44} 3.408379{col 58} .5417467{col 70} 23.29294
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.930556{col 44} 1.752537{col 58} .3258152{col 70} 11.43914
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}18.51{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(sfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:sfloor_index}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0019797{col 26}{space 2} .0025578{col 37}{space 1}    0.77{col 46}{space 3}0.439{col 54}{space 4}-.0030334{col 67}{space 3} .0069928
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0022212{col 26}{space 2} .0028644{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4} -.003393{col 67}{space 3} .0078355
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0024922{col 26}{space 2} .0032274{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-.0038334{col 67}{space 3} .0088177
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .002796{col 26}{space 2} .0036578{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0043731{col 67}{space 3} .0099651
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0031367{col 26}{space 2} .0041684{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-.0050332{col 67}{space 3} .0113066
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0035187{col 26}{space 2} .0047739{col 37}{space 1}    0.74{col 46}{space 3}0.461{col 54}{space 4} -.005838{col 67}{space 3} .0128754
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .003947{col 26}{space 2} .0054909{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4} -.006815{col 67}{space 3} .0147089
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .004427{col 26}{space 2} .0063383{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.0079957{col 67}{space 3} .0168498
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0049651{col 26}{space 2} .0073375{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.0094161{col 67}{space 3} .0193462
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .005568{col 26}{space 2} .0085129{col 37}{space 1}    0.65{col 46}{space 3}0.513{col 54}{space 4}-.0111169{col 67}{space 3} .0222529
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0062434{col 26}{space 2} .0098921{col 37}{space 1}    0.63{col 46}{space 3}0.528{col 54}{space 4}-.0131447{col 67}{space 3} .0256315
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store sfloor1pv90
{txt}
{com}. coefplot scomm1pv90 sfloor1pv90, ///
>         at xtitle("process unorthodoxy") title("90% party vote - Initial passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(s1pv90, replace)
{res}{txt}(file s1pv90.gph saved)

{com}. * Senate Final - Rice Index
. mixed senatef_percmin allcomm_index allfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 66.970011}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 66.970012}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    14.13
{txt}Log likelihood = {res} 66.970012{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0027

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .0111767{col 29}{space 2} .0286001{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4}-.0448784{col 70}{space 3} .0672319
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2}-.1904397{col 29}{space 2}  .052465{col 40}{space 1}   -3.63{col 49}{space 3}0.000{col 57}{space 4}-.2932692{col 70}{space 3}-.0876102
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0092383{col 29}{space 2} .0215637{col 40}{space 1}   -0.43{col 49}{space 3}0.668{col 57}{space 4}-.0515023{col 70}{space 3} .0330258
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .9037666{col 29}{space 2} .0338377{col 40}{space 1}   26.71{col 49}{space 3}0.000{col 57}{space 4} .8374459{col 70}{space 3} .9700873
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0095846{col 44} .0040395{col 58} .0041959{col 70} .0218938
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0026184{col 44}  .001577{col 58} .0008042{col 70} .0085249
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0434907{col 44} .0025402{col 58} .0387865{col 70} .0487655
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}76.21{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(allcomm_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8542244{col 26}{space 2} .0308531{col 37}{space 1}   27.69{col 46}{space 3}0.000{col 54}{space 4} .7937535{col 67}{space 3} .9146954
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8553421{col 26}{space 2} .0302907{col 37}{space 1}   28.24{col 46}{space 3}0.000{col 54}{space 4} .7959734{col 67}{space 3} .9147108
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8564598{col 26}{space 2} .0299917{col 37}{space 1}   28.56{col 46}{space 3}0.000{col 54}{space 4} .7976771{col 67}{space 3} .9152424
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8575774{col 26}{space 2} .0299639{col 37}{space 1}   28.62{col 46}{space 3}0.000{col 54}{space 4} .7988492{col 67}{space 3} .9163056
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .8586951{col 26}{space 2} .0302081{col 37}{space 1}   28.43{col 46}{space 3}0.000{col 54}{space 4} .7994883{col 67}{space 3} .9179019
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .8598128{col 26}{space 2} .0307178{col 37}{space 1}   27.99{col 46}{space 3}0.000{col 54}{space 4}  .799607{col 67}{space 3} .9200185
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .8609304{col 26}{space 2} .0314801{col 37}{space 1}   27.35{col 46}{space 3}0.000{col 54}{space 4} .7992307{col 67}{space 3} .9226302
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .8620481{col 26}{space 2} .0324771{col 37}{space 1}   26.54{col 46}{space 3}0.000{col 54}{space 4} .7983941{col 67}{space 3} .9257022
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .8631658{col 26}{space 2} .0336882{col 37}{space 1}   25.62{col 46}{space 3}0.000{col 54}{space 4} .7971381{col 67}{space 3} .9291935
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .8642835{col 26}{space 2} .0350911{col 37}{space 1}   24.63{col 46}{space 3}0.000{col 54}{space 4} .7955062{col 67}{space 3} .9330607
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .8654011{col 26}{space 2} .0366638{col 37}{space 1}   23.60{col 46}{space 3}0.000{col 54}{space 4} .7935414{col 67}{space 3} .9372609
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store scommfrice
{txt}
{com}. mixed senatef_percmin allcomm_index allfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 66.970011}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 66.970012}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    14.13
{txt}Log likelihood = {res} 66.970012{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0027

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .0111767{col 29}{space 2} .0286001{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4}-.0448784{col 70}{space 3} .0672319
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2}-.1904397{col 29}{space 2}  .052465{col 40}{space 1}   -3.63{col 49}{space 3}0.000{col 57}{space 4}-.2932692{col 70}{space 3}-.0876102
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0092383{col 29}{space 2} .0215637{col 40}{space 1}   -0.43{col 49}{space 3}0.668{col 57}{space 4}-.0515023{col 70}{space 3} .0330258
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .9037666{col 29}{space 2} .0338377{col 40}{space 1}   26.71{col 49}{space 3}0.000{col 57}{space 4} .8374459{col 70}{space 3} .9700873
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0095846{col 44} .0040395{col 58} .0041959{col 70} .0218938
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0026184{col 44}  .001577{col 58} .0008042{col 70} .0085249
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0434907{col 44} .0025402{col 58} .0387865{col 70} .0487655
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}76.21{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. margins, at(allfloor_index=(0(.1)1)) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9030209{col 26}{space 2} .0327941{col 37}{space 1}   27.54{col 46}{space 3}0.000{col 54}{space 4} .8387456{col 67}{space 3} .9672961
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8839769{col 26}{space 2} .0310227{col 37}{space 1}   28.49{col 46}{space 3}0.000{col 54}{space 4} .8231735{col 67}{space 3} .9447803
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .864933{col 26}{space 2} .0300735{col 37}{space 1}   28.76{col 46}{space 3}0.000{col 54}{space 4}   .80599{col 67}{space 3} .9238759
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .845889{col 26}{space 2} .0300245{col 37}{space 1}   28.17{col 46}{space 3}0.000{col 54}{space 4}  .787042{col 67}{space 3}  .904736
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .826845{col 26}{space 2} .0308801{col 37}{space 1}   26.78{col 46}{space 3}0.000{col 54}{space 4} .7663211{col 67}{space 3}  .887369
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .8078011{col 26}{space 2} .0325691{col 37}{space 1}   24.80{col 46}{space 3}0.000{col 54}{space 4} .7439668{col 67}{space 3} .8716353
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .7887571{col 26}{space 2} .0349708{col 37}{space 1}   22.55{col 46}{space 3}0.000{col 54}{space 4} .7202156{col 67}{space 3} .8572986
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .7697131{col 26}{space 2} .0379503{col 37}{space 1}   20.28{col 46}{space 3}0.000{col 54}{space 4}  .695332{col 67}{space 3} .8440943
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7506692{col 26}{space 2} .0413828{col 37}{space 1}   18.14{col 46}{space 3}0.000{col 54}{space 4} .6695603{col 67}{space 3}  .831778
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .7316252{col 26}{space 2} .0451653{col 37}{space 1}   16.20{col 46}{space 3}0.000{col 54}{space 4} .6431028{col 67}{space 3} .8201476
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .7125812{col 26}{space 2} .0492171{col 37}{space 1}   14.48{col 46}{space 3}0.000{col 54}{space 4} .6161175{col 67}{space 3}  .809045
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store sfloorfrice
{txt}
{com}. coefplot scommfrice sfloorfrice, ///
>         at xtitle("process unorthodoxy") title("% minority party support - Final passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(sfrice, replace)
{res}{txt}(file sfrice.gph saved)

{com}. * Senate Final - 50% party vote
. meqrlogit senatef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-203.89876}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-202.33294}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-202.33294}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-202.33294}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-201.63959}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -201.5975}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-201.59744}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-201.59744}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    15.40
{txt}Log likelihood = {res}-201.59744{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0015

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .3899067{col 28}{space 2} .3979555{col 39}{space 1}    0.98{col 48}{space 3}0.327{col 56}{space 4}-.3900718{col 69}{space 3} 1.169885
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.215456{col 28}{space 2} .7104307{col 39}{space 1}    3.12{col 48}{space 3}0.002{col 56}{space 4} .8230379{col 69}{space 3} 3.607875
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2194189{col 28}{space 2}  .352105{col 39}{space 1}   -0.62{col 48}{space 3}0.533{col 56}{space 4} -.909532{col 69}{space 3} .4706942
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-3.167009{col 28}{space 2} .4590269{col 39}{space 1}   -6.90{col 48}{space 3}0.000{col 56}{space 4}-4.066685{col 69}{space 3}-2.267332
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .9082954{col 44} .5397287{col 58} .2834163{col 70} 2.910914
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .6518119{col 44} .4823572{col 58} .1528311{col 70} 2.779923
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.72{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allcomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0698911{col 26}{space 2} .0270196{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0169336{col 67}{space 3} .1228485
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0724001{col 26}{space 2} .0271456{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0191956{col 67}{space 3} .1256045
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0749899{col 26}{space 2}   .02749{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0211104{col 67}{space 3} .1288693
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0776625{col 26}{space 2} .0280893{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0226085{col 67}{space 3} .1327164
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0804198{col 26}{space 2} .0289759{col 37}{space 1}    2.78{col 46}{space 3}0.006{col 54}{space 4} .0236282{col 67}{space 3} .1372114
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0832639{col 26}{space 2} .0301761{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4}   .02412{col 67}{space 3} .1424079
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0861968{col 26}{space 2} .0317087{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0240488{col 67}{space 3} .1483448
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0892204{col 26}{space 2} .0335851{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0233948{col 67}{space 3} .1550461
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0923367{col 26}{space 2} .0358098{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0221508{col 67}{space 3} .1625227
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0955477{col 26}{space 2} .0383821{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0203201{col 67}{space 3} .1707753
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0988554{col 26}{space 2}  .041298{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .0179128{col 67}{space 3}  .179798
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store scommfpv50
{txt}
{com}. meqrlogit senatef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-203.89876}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-202.33294}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-202.33294}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-202.33294}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-201.63959}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -201.5975}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-201.59744}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-201.59744}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    15.40
{txt}Log likelihood = {res}-201.59744{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0015

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .3899067{col 28}{space 2} .3979555{col 39}{space 1}    0.98{col 48}{space 3}0.327{col 56}{space 4}-.3900718{col 69}{space 3} 1.169885
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.215456{col 28}{space 2} .7104307{col 39}{space 1}    3.12{col 48}{space 3}0.002{col 56}{space 4} .8230379{col 69}{space 3} 3.607875
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2194189{col 28}{space 2}  .352105{col 39}{space 1}   -0.62{col 48}{space 3}0.533{col 56}{space 4} -.909532{col 69}{space 3} .4706942
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-3.167009{col 28}{space 2} .4590269{col 39}{space 1}   -6.90{col 48}{space 3}0.000{col 56}{space 4}-4.066685{col 69}{space 3}-2.267332
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .9082954{col 44} .5397287{col 58} .2834163{col 70} 2.910914
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .6518119{col 44} .4823572{col 58} .1528311{col 70} 2.779923
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.72{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0416695{col 26}{space 2} .0179267{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4} .0065337{col 67}{space 3} .0768053
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .051453{col 26}{space 2}   .02059{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .0110973{col 67}{space 3} .0918088
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0633768{col 26}{space 2} .0240804{col 37}{space 1}    2.63{col 46}{space 3}0.008{col 54}{space 4}   .01618{col 67}{space 3} .1105735
{txt}{space 10}4  {c |}{col 14}{res}{space 2}   .07783{col 26}{space 2} .0288237{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0213365{col 67}{space 3} .1343234
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0952342{col 26}{space 2} .0353308{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0259872{col 67}{space 3} .1644813
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1160274{col 26}{space 2} .0441283{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0295374{col 67}{space 3} .2025173
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1406371{col 26}{space 2} .0556768{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .0315125{col 67}{space 3} .2497617
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1694437{col 26}{space 2} .0702911{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .0316756{col 67}{space 3} .3072118
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .2027316{col 26}{space 2} .0880621{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4}  .030133{col 67}{space 3} .3753301
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .2406331{col 26}{space 2} .1087762{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0274357{col 67}{space 3} .4538305
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .2830711{col 26}{space 2} .1318454{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4}  .024659{col 67}{space 3} .5414833
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store sfloorfpv50
{txt}
{com}. coefplot scommfpv50 sfloorfpv50, ///
>         at xtitle("process unorthodoxy") title("50% party vote - Final passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(sfpv50, replace)
{res}{txt}(file sfpv50.gph saved)

{com}. * Senate Final - 90% party vote
. meqrlogit senatef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-49.882914}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-47.048262}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-46.474887}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-46.474887}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:  -43.5797}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-42.850994}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-42.801161}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-42.799398}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-42.799391}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res:-42.799391}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     2.27
{txt}Log likelihood = {res}-42.799391{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.5192

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .8001022{col 28}{space 2} .8947869{col 39}{space 1}    0.89{col 48}{space 3}0.371{col 56}{space 4}-.9536479{col 69}{space 3} 2.553852
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.3833786{col 28}{space 2} 1.769668{col 39}{space 1}   -0.22{col 48}{space 3}0.828{col 56}{space 4}-3.851863{col 69}{space 3} 3.085106
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.419571{col 28}{space 2} 1.220136{col 39}{space 1}   -1.16{col 48}{space 3}0.245{col 56}{space 4}-3.810994{col 69}{space 3} .9718521
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-8.057157{col 28}{space 2} 2.565004{col 39}{space 1}   -3.14{col 48}{space 3}0.002{col 56}{space 4}-13.08447{col 69}{space 3}-3.029842
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 11.73437{col 44} 15.21207{col 58} .9246748{col 70} 148.9123
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.611688{col 44} 3.188721{col 58} .6400197{col 70} 20.38107
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.68{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allcomm_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allcomm_in~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0002003{col 26}{space 2} .0005314{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0008413{col 67}{space 3} .0012419
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .000217{col 26}{space 2} .0005742{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0009085{col 67}{space 3} .0013424
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .000235{col 26}{space 2} .0006212{col 37}{space 1}    0.38{col 46}{space 3}0.705{col 54}{space 4}-.0009824{col 67}{space 3} .0014525
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0002546{col 26}{space 2} .0006727{col 37}{space 1}    0.38{col 46}{space 3}0.705{col 54}{space 4}-.0010639{col 67}{space 3} .0015731
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0002758{col 26}{space 2} .0007294{col 37}{space 1}    0.38{col 46}{space 3}0.705{col 54}{space 4}-.0011537{col 67}{space 3} .0017053
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0002988{col 26}{space 2} .0007917{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0012529{col 67}{space 3} .0018504
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0003236{col 26}{space 2} .0008603{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.0013625{col 67}{space 3} .0020098
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0003506{col 26}{space 2} .0009359{col 37}{space 1}    0.37{col 46}{space 3}0.708{col 54}{space 4}-.0014837{col 67}{space 3} .0021848
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0003798{col 26}{space 2} .0010192{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4}-.0016178{col 67}{space 3} .0023773
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0004114{col 26}{space 2}  .001111{col 37}{space 1}    0.37{col 46}{space 3}0.711{col 54}{space 4}-.0017662{col 67}{space 3}  .002589
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0004456{col 26}{space 2} .0012124{col 37}{space 1}    0.37{col 46}{space 3}0.713{col 54}{space 4}-.0019306{col 67}{space 3} .0028219
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store scommfpv90
{txt}
{com}. meqrlogit senatef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-49.882914}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-47.048262}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-46.474887}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-46.474887}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:  -43.5797}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-42.850994}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-42.801161}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-42.799398}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-42.799391}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res:-42.799391}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     2.27
{txt}Log likelihood = {res}-42.799391{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.5192

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .8001022{col 28}{space 2} .8947869{col 39}{space 1}    0.89{col 48}{space 3}0.371{col 56}{space 4}-.9536479{col 69}{space 3} 2.553852
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.3833786{col 28}{space 2} 1.769668{col 39}{space 1}   -0.22{col 48}{space 3}0.828{col 56}{space 4}-3.851863{col 69}{space 3} 3.085106
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.419571{col 28}{space 2} 1.220136{col 39}{space 1}   -1.16{col 48}{space 3}0.245{col 56}{space 4}-3.810994{col 69}{space 3} .9718521
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-8.057157{col 28}{space 2} 2.565004{col 39}{space 1}   -3.14{col 48}{space 3}0.002{col 56}{space 4}-13.08447{col 69}{space 3}-3.029842
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 11.73437{col 44} 15.21207{col 58} .9246748{col 70} 148.9123
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.611688{col 44} 3.188721{col 58} .6400197{col 70} 20.38107
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.68{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}

{com}. margins, at(allfloor_index=(0(.1)1)) predict(mu fixedonly) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       621

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean, fixed portion only, predict(mu fixedonly)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:allfloor_i~x}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0002953{col 26}{space 2} .0007572{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.0011889{col 67}{space 3} .0017795
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0002842{col 26}{space 2} .0007347{col 37}{space 1}    0.39{col 46}{space 3}0.699{col 54}{space 4}-.0011558{col 67}{space 3} .0017243
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0002735{col 26}{space 2} .0007161{col 37}{space 1}    0.38{col 46}{space 3}0.702{col 54}{space 4}  -.00113{col 67}{space 3}  .001677
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0002632{col 26}{space 2} .0007008{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.0011103{col 67}{space 3} .0016367
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0002533{col 26}{space 2} .0006884{col 37}{space 1}    0.37{col 46}{space 3}0.713{col 54}{space 4}-.0010958{col 67}{space 3} .0016025
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0002438{col 26}{space 2} .0006784{col 37}{space 1}    0.36{col 46}{space 3}0.719{col 54}{space 4}-.0010858{col 67}{space 3} .0015734
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0002346{col 26}{space 2} .0006704{col 37}{space 1}    0.35{col 46}{space 3}0.726{col 54}{space 4}-.0010793{col 67}{space 3} .0015486
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0002258{col 26}{space 2}  .000664{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.0010756{col 67}{space 3} .0015273
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0002173{col 26}{space 2} .0006589{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.0010741{col 67}{space 3} .0015088
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0002092{col 26}{space 2} .0006548{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0010742{col 67}{space 3} .0014926
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0002013{col 26}{space 2} .0006514{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-.0010754{col 67}{space 3}  .001478
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store sfloorfpv90
{txt}
{com}. coefplot scommfpv90 sfloorfpv90, ///
>         at xtitle("process unorthodoxy") title("90% party vote - Final passage") ///
>         yscale(range(0 1)) ylabel(0(.5)1) lwidth(*1) connect(l) legend(position(6) rows(2)) plotlabels("Bill development" "Bill management") saving(sfpv90, replace)
{res}{txt}(file sfpv90.gph saved)

{com}. * combined
. gr combine s1rice.gph s1pv50.gph s1pv90.gph sfrice.gph sfpv50.gph sfpv90.gph 
{res}{txt}
{com}. 
. 
. ************************************
. *** SUPPLEMENTAL APPENDIX MODELS ***
. ************************************
. 
. * Table A1
. eststo: reg house1_percmin hcomm_index hfloor_index approps i.cong i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(35, 585)      = {res}     5.62
{txt}       Model {c |} {res} 18.3386613        35   .52396175   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 54.5832351       585  .093304675   {txt}R-squared       ={res}    0.2515
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2067
{txt}       Total {c |} {res} 72.9218963       620  .117615962   {txt}Root MSE        =   {res} .30546

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}house1_per~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .1145831{col 26}{space 2} .0379082{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0401304{col 67}{space 3} .1890358
{txt}hfloor_index {c |}{col 14}{res}{space 2}-.2650904{col 26}{space 2} .0499527{col 37}{space 1}   -5.31{col 46}{space 3}0.000{col 54}{space 4}-.3631989{col 67}{space 3}-.1669819
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.1028419{col 26}{space 2} .0330014{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-.1676576{col 67}{space 3}-.0380262
{txt}{space 12} {c |}
{space 8}cong {c |}
{space 8}101  {c |}{col 14}{res}{space 2}-.0351293{col 26}{space 2} .0638641{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.1605601{col 67}{space 3} .0903015
{txt}{space 8}102  {c |}{col 14}{res}{space 2}-.0633306{col 26}{space 2} .0652507{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.1914847{col 67}{space 3} .0648236
{txt}{space 8}103  {c |}{col 14}{res}{space 2}-.2633218{col 26}{space 2}  .064765{col 37}{space 1}   -4.07{col 46}{space 3}0.000{col 54}{space 4}-.3905221{col 67}{space 3}-.1361215
{txt}{space 8}104  {c |}{col 14}{res}{space 2}-.1070952{col 26}{space 2} .0673094{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4}-.2392927{col 67}{space 3} .0251024
{txt}{space 8}105  {c |}{col 14}{res}{space 2}-.0801061{col 26}{space 2} .0774658{col 37}{space 1}   -1.03{col 46}{space 3}0.302{col 54}{space 4} -.232251{col 67}{space 3} .0720389
{txt}{space 8}106  {c |}{col 14}{res}{space 2}-.1112796{col 26}{space 2} .0669117{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4}-.2426961{col 67}{space 3} .0201368
{txt}{space 8}107  {c |}{col 14}{res}{space 2} .0190024{col 26}{space 2} .0677004{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-.1139631{col 67}{space 3} .1519678
{txt}{space 8}108  {c |}{col 14}{res}{space 2}-.0616334{col 26}{space 2} .0746438{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-.2082358{col 67}{space 3} .0849689
{txt}{space 8}109  {c |}{col 14}{res}{space 2} -.099393{col 26}{space 2} .0699685{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-.2368131{col 67}{space 3}  .038027
{txt}{space 8}110  {c |}{col 14}{res}{space 2}-.0999602{col 26}{space 2} .0741806{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4} -.245653{col 67}{space 3} .0457325
{txt}{space 8}111  {c |}{col 14}{res}{space 2}-.3865747{col 26}{space 2} .0726651{col 37}{space 1}   -5.32{col 46}{space 3}0.000{col 54}{space 4}-.5292909{col 67}{space 3}-.2438585
{txt}{space 8}112  {c |}{col 14}{res}{space 2}-.1503561{col 26}{space 2} .0691805{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.2862285{col 67}{space 3}-.0144838
{txt}{space 8}113  {c |}{col 14}{res}{space 2}-.0442098{col 26}{space 2} .0873046{col 37}{space 1}   -0.51{col 46}{space 3}0.613{col 54}{space 4}-.2156784{col 67}{space 3} .1272588
{txt}{space 8}114  {c |}{col 14}{res}{space 2}-.0181875{col 26}{space 2} .0791477{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.1736357{col 67}{space 3} .1372607
{txt}{space 12} {c |}
{space 7}major {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2979263{col 26}{space 2} .1261509{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0501625{col 67}{space 3}   .54569
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .378515{col 26}{space 2} .0855497{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4}  .210493{col 67}{space 3}  .546537
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2961823{col 26}{space 2} .0879598{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .1234268{col 67}{space 3} .4689377
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3280904{col 26}{space 2} .0993509{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .1329625{col 67}{space 3} .5232183
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2968461{col 26}{space 2} .1024805{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0955715{col 67}{space 3} .4981206
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .4374769{col 26}{space 2} .1082763{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} .2248192{col 67}{space 3} .6501345
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4227896{col 26}{space 2} .1223767{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .1824384{col 67}{space 3} .6631407
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .397112{col 26}{space 2} .0812717{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .2374921{col 67}{space 3} .5567318
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .2508695{col 26}{space 2} .0945933{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0650856{col 67}{space 3} .4366533
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .4131248{col 26}{space 2} .1117782{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} .1935893{col 67}{space 3} .6326602
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .2481285{col 26}{space 2} .1425488{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0318412{col 67}{space 3} .5280983
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .3111806{col 26}{space 2} .0813489{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .1514091{col 67}{space 3} .4709521
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .3423667{col 26}{space 2} .0729916{col 37}{space 1}    4.69{col 46}{space 3}0.000{col 54}{space 4} .1990092{col 67}{space 3} .4857243
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .1983407{col 26}{space 2} .1079214{col 37}{space 1}    1.84{col 46}{space 3}0.067{col 54}{space 4}-.0136198{col 67}{space 3} .4103012
{txt}{space 9}18  {c |}{col 14}{res}{space 2}  .192415{col 26}{space 2} .0884775{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0186427{col 67}{space 3} .3661873
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .2759181{col 26}{space 2} .0897629{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0996214{col 67}{space 3} .4522148
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .2105205{col 26}{space 2} .0744952{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0642099{col 67}{space 3} .3568312
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .3368896{col 26}{space 2} .0891002{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .1618944{col 67}{space 3} .5118848
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .5830932{col 26}{space 2} .0823525{col 37}{space 1}    7.08{col 46}{space 3}0.000{col 54}{space 4} .4213507{col 67}{space 3} .7448357
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: logit house1_pv50 hcomm_index hfloor_index approps i.cong, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-390.98534}  
Iteration 1:{space 3}log pseudolikelihood = {res: -350.0662}  
Iteration 2:{space 3}log pseudolikelihood = {res: -349.3654}  
Iteration 3:{space 3}log pseudolikelihood = {res:-349.36299}  
Iteration 4:{space 3}log pseudolikelihood = {res:-349.36299}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   3114.32
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-349.36299{txt}{col 49}Pseudo R2{col 67}= {res}    0.1065

{txt}{ralign 78:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} house1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2}-.1392601{col 26}{space 2} .3239466{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-.7741839{col 67}{space 3} .4956636
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.723041{col 26}{space 2} .4063267{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .9266559{col 67}{space 3} 2.519427
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3996857{col 26}{space 2} .4038188{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-.3917845{col 67}{space 3} 1.191156
{txt}{space 12} {c |}
{space 8}cong {c |}
{space 8}101  {c |}{col 14}{res}{space 2} .0194873{col 26}{space 2} .4396065{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-.8421256{col 67}{space 3} .8811003
{txt}{space 8}102  {c |}{col 14}{res}{space 2} .0316474{col 26}{space 2} .3484546{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.6513111{col 67}{space 3}  .714606
{txt}{space 8}103  {c |}{col 14}{res}{space 2} 1.645767{col 26}{space 2} .5074011{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .6512788{col 67}{space 3} 2.640255
{txt}{space 8}104  {c |}{col 14}{res}{space 2} .8309331{col 26}{space 2} .3671503{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .1113318{col 67}{space 3} 1.550534
{txt}{space 8}105  {c |}{col 14}{res}{space 2} .7570582{col 26}{space 2}  .502772{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.2283568{col 67}{space 3} 1.742473
{txt}{space 8}106  {c |}{col 14}{res}{space 2} .7211801{col 26}{space 2} .4666289{col 37}{space 1}    1.55{col 46}{space 3}0.122{col 54}{space 4}-.1933958{col 67}{space 3} 1.635756
{txt}{space 8}107  {c |}{col 14}{res}{space 2} .1395798{col 26}{space 2} .6247761{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-1.084959{col 67}{space 3} 1.364119
{txt}{space 8}108  {c |}{col 14}{res}{space 2} .6590023{col 26}{space 2} .7439465{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4} -.799106{col 67}{space 3} 2.117111
{txt}{space 8}109  {c |}{col 14}{res}{space 2} .6965297{col 26}{space 2} .6547215{col 37}{space 1}    1.06{col 46}{space 3}0.287{col 54}{space 4}-.5867009{col 67}{space 3}  1.97976
{txt}{space 8}110  {c |}{col 14}{res}{space 2}  .946679{col 26}{space 2} .5806681{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.1914096{col 67}{space 3} 2.084768
{txt}{space 8}111  {c |}{col 14}{res}{space 2} 1.935134{col 26}{space 2} .5740318{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .8100519{col 67}{space 3} 3.060215
{txt}{space 8}112  {c |}{col 14}{res}{space 2} 1.050161{col 26}{space 2} .5372319{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0027943{col 67}{space 3} 2.103116
{txt}{space 8}113  {c |}{col 14}{res}{space 2} 1.248117{col 26}{space 2} .6517127{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0292169{col 67}{space 3}  2.52545
{txt}{space 8}114  {c |}{col 14}{res}{space 2} .3301157{col 26}{space 2} .7253715{col 37}{space 1}    0.46{col 46}{space 3}0.649{col 54}{space 4}-1.091586{col 67}{space 3} 1.751818
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.153294{col 26}{space 2}    .4735{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-3.081337{col 67}{space 3}-1.225251
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: logit house1_pv90 hcomm_index hfloor_index approps, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-166.49039}  
Iteration 1:{space 3}log pseudolikelihood = {res:-156.28751}  
Iteration 2:{space 3}log pseudolikelihood = {res:-153.79759}  
Iteration 3:{space 3}log pseudolikelihood = {res:-153.79634}  
Iteration 4:{space 3}log pseudolikelihood = {res:-153.79634}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     19.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}-153.79634{txt}{col 49}Pseudo R2{col 67}= {res}    0.0762

{txt}{ralign 78:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} house1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .2158936{col 26}{space 2} .3415126{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.4534587{col 67}{space 3} .8852459
{txt}hfloor_index {c |}{col 14}{res}{space 2} 2.264277{col 26}{space 2} .5326679{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} 1.220267{col 67}{space 3} 3.308287
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3498757{col 26}{space 2} .3407491{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.3179803{col 67}{space 3} 1.017732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.544697{col 26}{space 2} .5192811{col 37}{space 1}   -6.83{col 46}{space 3}0.000{col 54}{space 4}-4.562469{col 67}{space 3}-2.526924
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: reg housef_percmin allcomm_index allfloor_index approps i.cong i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(35, 585)      = {res}     6.87
{txt}       Model {c |} {res} 16.0882801        35  .459665145   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 39.1358221       585  .066898841   {txt}R-squared       ={res}    0.2913
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2489
{txt}       Total {c |} {res} 55.2241022       620  .089071133   {txt}Root MSE        =   {res} .25865

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0882246{col 28}{space 2} .0360107{col 39}{space 1}    2.45{col 48}{space 3}0.015{col 56}{space 4} .0174986{col 69}{space 3} .1589506
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.2581719{col 28}{space 2} .0669978{col 39}{space 1}   -3.85{col 48}{space 3}0.000{col 56}{space 4}-.3897575{col 69}{space 3}-.1265863
{txt}{space 7}approps {c |}{col 16}{res}{space 2} .0065288{col 28}{space 2} .0284113{col 39}{space 1}    0.23{col 48}{space 3}0.818{col 56}{space 4}-.0492718{col 69}{space 3} .0623295
{txt}{space 14} {c |}
{space 10}cong {c |}
{space 10}101  {c |}{col 16}{res}{space 2}-.0547602{col 28}{space 2} .0540699{col 39}{space 1}   -1.01{col 48}{space 3}0.312{col 56}{space 4}-.1609549{col 69}{space 3} .0514346
{txt}{space 10}102  {c |}{col 16}{res}{space 2}-.0772315{col 28}{space 2} .0552478{col 39}{space 1}   -1.40{col 48}{space 3}0.163{col 56}{space 4}-.1857397{col 69}{space 3} .0312768
{txt}{space 10}103  {c |}{col 16}{res}{space 2}-.2216759{col 28}{space 2} .0548345{col 39}{space 1}   -4.04{col 48}{space 3}0.000{col 56}{space 4}-.3293723{col 69}{space 3}-.1139795
{txt}{space 10}104  {c |}{col 16}{res}{space 2}-.0823752{col 28}{space 2} .0569607{col 39}{space 1}   -1.45{col 48}{space 3}0.149{col 56}{space 4}-.1942476{col 69}{space 3} .0294971
{txt}{space 10}105  {c |}{col 16}{res}{space 2}-.0176391{col 28}{space 2} .0655882{col 39}{space 1}   -0.27{col 48}{space 3}0.788{col 56}{space 4}-.1464562{col 69}{space 3} .1111779
{txt}{space 10}106  {c |}{col 16}{res}{space 2}-.0385931{col 28}{space 2} .0566122{col 39}{space 1}   -0.68{col 48}{space 3}0.496{col 56}{space 4}-.1497811{col 69}{space 3} .0725949
{txt}{space 10}107  {c |}{col 16}{res}{space 2} .0168941{col 28}{space 2}  .057221{col 39}{space 1}    0.30{col 48}{space 3}0.768{col 56}{space 4}-.0954895{col 69}{space 3} .1292777
{txt}{space 10}108  {c |}{col 16}{res}{space 2}-.1788069{col 28}{space 2} .0628624{col 39}{space 1}   -2.84{col 48}{space 3}0.005{col 56}{space 4}-.3022705{col 69}{space 3}-.0553434
{txt}{space 10}109  {c |}{col 16}{res}{space 2} -.167999{col 28}{space 2} .0589323{col 39}{space 1}   -2.85{col 48}{space 3}0.005{col 56}{space 4}-.2837437{col 69}{space 3}-.0522543
{txt}{space 10}110  {c |}{col 16}{res}{space 2}-.0247352{col 28}{space 2} .0634872{col 39}{space 1}   -0.39{col 48}{space 3}0.697{col 56}{space 4}-.1494259{col 69}{space 3} .0999555
{txt}{space 10}111  {c |}{col 16}{res}{space 2} -.472573{col 28}{space 2} .0629019{col 39}{space 1}   -7.51{col 48}{space 3}0.000{col 56}{space 4} -.596114{col 69}{space 3}-.3490319
{txt}{space 10}112  {c |}{col 16}{res}{space 2}-.1113509{col 28}{space 2} .0592652{col 39}{space 1}   -1.88{col 48}{space 3}0.061{col 56}{space 4}-.2277493{col 69}{space 3} .0050476
{txt}{space 10}113  {c |}{col 16}{res}{space 2} .0264389{col 28}{space 2} .0751004{col 39}{space 1}    0.35{col 48}{space 3}0.725{col 56}{space 4}-.1210604{col 69}{space 3} .1739381
{txt}{space 10}114  {c |}{col 16}{res}{space 2} .0519718{col 28}{space 2} .0680217{col 39}{space 1}    0.76{col 48}{space 3}0.445{col 56}{space 4}-.0816247{col 69}{space 3} .1855683
{txt}{space 14} {c |}
{space 9}major {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .2553973{col 28}{space 2} .1068132{col 39}{space 1}    2.39{col 48}{space 3}0.017{col 56}{space 4} .0456133{col 69}{space 3} .4651813
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .3394327{col 28}{space 2} .0720219{col 39}{space 1}    4.71{col 48}{space 3}0.000{col 56}{space 4} .1979799{col 69}{space 3} .4808856
{txt}{space 12}4  {c |}{col 16}{res}{space 2} .2488783{col 28}{space 2} .0743866{col 39}{space 1}    3.35{col 48}{space 3}0.001{col 56}{space 4} .1027809{col 69}{space 3} .3949757
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .2877698{col 28}{space 2} .0841221{col 39}{space 1}    3.42{col 48}{space 3}0.001{col 56}{space 4} .1225517{col 69}{space 3}  .452988
{txt}{space 12}6  {c |}{col 16}{res}{space 2} .3071306{col 28}{space 2} .0868109{col 39}{space 1}    3.54{col 48}{space 3}0.000{col 56}{space 4} .1366315{col 69}{space 3} .4776296
{txt}{space 12}7  {c |}{col 16}{res}{space 2} .3771124{col 28}{space 2}  .091703{col 39}{space 1}    4.11{col 48}{space 3}0.000{col 56}{space 4} .1970051{col 69}{space 3} .5572196
{txt}{space 12}8  {c |}{col 16}{res}{space 2} .3234028{col 28}{space 2} .1035709{col 39}{space 1}    3.12{col 48}{space 3}0.002{col 56}{space 4} .1199867{col 69}{space 3}  .526819
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .2816655{col 28}{space 2}  .068751{col 39}{space 1}    4.10{col 48}{space 3}0.000{col 56}{space 4} .1466367{col 69}{space 3} .4166942
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .2108143{col 28}{space 2} .0797897{col 39}{space 1}    2.64{col 48}{space 3}0.008{col 56}{space 4}  .054105{col 69}{space 3} .3675235
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .2637398{col 28}{space 2} .0940058{col 39}{space 1}    2.81{col 48}{space 3}0.005{col 56}{space 4} .0791099{col 69}{space 3} .4483698
{txt}{space 11}14  {c |}{col 16}{res}{space 2}  .252104{col 28}{space 2} .1204472{col 39}{space 1}    2.09{col 48}{space 3}0.037{col 56}{space 4} .0155423{col 69}{space 3} .4886656
{txt}{space 11}15  {c |}{col 16}{res}{space 2} .2966529{col 28}{space 2} .0688273{col 39}{space 1}    4.31{col 48}{space 3}0.000{col 56}{space 4} .1614741{col 69}{space 3} .4318316
{txt}{space 11}16  {c |}{col 16}{res}{space 2} .2801315{col 28}{space 2} .0615793{col 39}{space 1}    4.55{col 48}{space 3}0.000{col 56}{space 4} .1591881{col 69}{space 3} .4010749
{txt}{space 11}17  {c |}{col 16}{res}{space 2} .3608707{col 28}{space 2} .0911154{col 39}{space 1}    3.96{col 48}{space 3}0.000{col 56}{space 4} .1819175{col 69}{space 3} .5398239
{txt}{space 11}18  {c |}{col 16}{res}{space 2}  .129347{col 28}{space 2} .0751162{col 39}{space 1}    1.72{col 48}{space 3}0.086{col 56}{space 4}-.0181833{col 69}{space 3} .2768773
{txt}{space 11}19  {c |}{col 16}{res}{space 2} .2505855{col 28}{space 2}  .075494{col 39}{space 1}    3.32{col 48}{space 3}0.001{col 56}{space 4} .1023132{col 69}{space 3} .3988577
{txt}{space 11}20  {c |}{col 16}{res}{space 2} .1645726{col 28}{space 2} .0628437{col 39}{space 1}    2.62{col 48}{space 3}0.009{col 56}{space 4} .0411457{col 69}{space 3} .2879994
{txt}{space 11}21  {c |}{col 16}{res}{space 2} .2665353{col 28}{space 2} .0753756{col 39}{space 1}    3.54{col 48}{space 3}0.000{col 56}{space 4} .1184956{col 69}{space 3}  .414575
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}   .66516{col 28}{space 2} .0701271{col 39}{space 1}    9.49{col 48}{space 3}0.000{col 56}{space 4} .5274284{col 69}{space 3} .8028916
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. eststo: logit housef_pv50 allcomm_index allfloor_index approps i.cong, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-342.17452}  
Iteration 1:{space 3}log pseudolikelihood = {res:-298.13188}  
Iteration 2:{space 3}log pseudolikelihood = {res:-296.21533}  
Iteration 3:{space 3}log pseudolikelihood = {res:-296.19205}  
Iteration 4:{space 3}log pseudolikelihood = {res:-296.19204}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1961.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-296.19204{txt}{col 49}Pseudo R2{col 67}= {res}    0.1344

{txt}{ralign 80:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.0874733{col 28}{space 2} .3762827{col 39}{space 1}   -0.23{col 48}{space 3}0.816{col 56}{space 4}-.8249738{col 69}{space 3} .6500272
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.134337{col 28}{space 2} .7019842{col 39}{space 1}    3.04{col 48}{space 3}0.002{col 56}{space 4} .7584738{col 69}{space 3} 3.510201
{txt}{space 7}approps {c |}{col 16}{res}{space 2} -.090038{col 28}{space 2} .4279131{col 39}{space 1}   -0.21{col 48}{space 3}0.833{col 56}{space 4}-.9287323{col 69}{space 3} .7486564
{txt}{space 14} {c |}
{space 10}cong {c |}
{space 10}101  {c |}{col 16}{res}{space 2} .4413805{col 28}{space 2} .7450193{col 39}{space 1}    0.59{col 48}{space 3}0.554{col 56}{space 4}-1.018831{col 69}{space 3} 1.901591
{txt}{space 10}102  {c |}{col 16}{res}{space 2} .3647226{col 28}{space 2}  .527435{col 39}{space 1}    0.69{col 48}{space 3}0.489{col 56}{space 4}-.6690311{col 69}{space 3} 1.398476
{txt}{space 10}103  {c |}{col 16}{res}{space 2} 1.734199{col 28}{space 2} .7402621{col 39}{space 1}    2.34{col 48}{space 3}0.019{col 56}{space 4} .2833118{col 69}{space 3} 3.185086
{txt}{space 10}104  {c |}{col 16}{res}{space 2} .4062533{col 28}{space 2} .7036547{col 39}{space 1}    0.58{col 48}{space 3}0.564{col 56}{space 4}-.9728844{col 69}{space 3} 1.785391
{txt}{space 10}105  {c |}{col 16}{res}{space 2}-.3637673{col 28}{space 2} .4107642{col 39}{space 1}   -0.89{col 48}{space 3}0.376{col 56}{space 4} -1.16885{col 69}{space 3} .4413159
{txt}{space 10}106  {c |}{col 16}{res}{space 2} -.081077{col 28}{space 2} .5468575{col 39}{space 1}   -0.15{col 48}{space 3}0.882{col 56}{space 4}-1.152898{col 69}{space 3}  .990744
{txt}{space 10}107  {c |}{col 16}{res}{space 2} .1379733{col 28}{space 2} .6254004{col 39}{space 1}    0.22{col 48}{space 3}0.825{col 56}{space 4}-1.087789{col 69}{space 3} 1.363735
{txt}{space 10}108  {c |}{col 16}{res}{space 2} 1.231708{col 28}{space 2} .9015366{col 39}{space 1}    1.37{col 48}{space 3}0.172{col 56}{space 4}-.5352716{col 69}{space 3} 2.998687
{txt}{space 10}109  {c |}{col 16}{res}{space 2} 1.048633{col 28}{space 2} .7745139{col 39}{space 1}    1.35{col 48}{space 3}0.176{col 56}{space 4}-.4693869{col 69}{space 3} 2.566652
{txt}{space 10}110  {c |}{col 16}{res}{space 2} .4847488{col 28}{space 2} .7463352{col 39}{space 1}    0.65{col 48}{space 3}0.516{col 56}{space 4}-.9780413{col 69}{space 3} 1.947539
{txt}{space 10}111  {c |}{col 16}{res}{space 2} 2.326064{col 28}{space 2} .4628022{col 39}{space 1}    5.03{col 48}{space 3}0.000{col 56}{space 4} 1.418988{col 69}{space 3} 3.233139
{txt}{space 10}112  {c |}{col 16}{res}{space 2} 1.125245{col 28}{space 2} .6673338{col 39}{space 1}    1.69{col 48}{space 3}0.092{col 56}{space 4}-.1827054{col 69}{space 3} 2.433195
{txt}{space 10}113  {c |}{col 16}{res}{space 2}  .698913{col 28}{space 2} .8336528{col 39}{space 1}    0.84{col 48}{space 3}0.402{col 56}{space 4}-.9350165{col 69}{space 3} 2.332842
{txt}{space 10}114  {c |}{col 16}{res}{space 2} .1323321{col 28}{space 2} .7599002{col 39}{space 1}    0.17{col 48}{space 3}0.862{col 56}{space 4}-1.357045{col 69}{space 3} 1.621709
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-2.459238{col 28}{space 2} .6660794{col 39}{space 1}   -3.69{col 48}{space 3}0.000{col 56}{space 4} -3.76473{col 69}{space 3}-1.153746
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}. eststo: logit housef_pv90 allcomm_index allfloor_index approps, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-91.763838}  
Iteration 1:{space 3}log pseudolikelihood = {res:-89.274397}  
Iteration 2:{space 3}log pseudolikelihood = {res:-79.088272}  
Iteration 3:{space 3}log pseudolikelihood = {res:-78.983592}  
Iteration 4:{space 3}log pseudolikelihood = {res:-78.983307}  
Iteration 5:{space 3}log pseudolikelihood = {res:-78.983307}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     24.56
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-78.983307{txt}{col 49}Pseudo R2{col 67}= {res}    0.1393

{txt}{ralign 80:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}  .140778{col 28}{space 2} .4239735{col 39}{space 1}    0.33{col 48}{space 3}0.740{col 56}{space 4}-.6901949{col 69}{space 3} .9717508
{txt}allfloor_index {c |}{col 16}{res}{space 2} 4.008127{col 28}{space 2} 1.383014{col 39}{space 1}    2.90{col 48}{space 3}0.004{col 56}{space 4} 1.297469{col 69}{space 3} 6.718785
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.6154924{col 28}{space 2} .4215736{col 39}{space 1}   -1.46{col 48}{space 3}0.144{col 56}{space 4}-1.441761{col 69}{space 3} .2107767
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-4.672041{col 28}{space 2} .8725283{col 39}{space 1}   -5.35{col 48}{space 3}0.000{col 56}{space 4}-6.382165{col 69}{space 3}-2.961917
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}hcomm_index {res}        0.115**       -0.139          0.216                                               {txt}
            {res} {ralign 12:{txt:(}0.0379{txt:)}}   {ralign 12:{txt:(}0.324{txt:)}}   {ralign 12:{txt:(}0.342{txt:)}}                                               {txt}

{txt}hfloor_index{res}       -0.265**        1.723**        2.264**                                             {txt}
            {res} {ralign 12:{txt:(}0.0500{txt:)}}   {ralign 12:{txt:(}0.406{txt:)}}   {ralign 12:{txt:(}0.533{txt:)}}                                               {txt}

{txt}approps     {res}       -0.103**        0.400          0.350        0.00653        -0.0900         -0.615  {txt}
            {res} {ralign 12:{txt:(}0.0330{txt:)}}   {ralign 12:{txt:(}0.404{txt:)}}   {ralign 12:{txt:(}0.341{txt:)}}   {ralign 12:{txt:(}0.0284{txt:)}}   {ralign 12:{txt:(}0.428{txt:)}}   {ralign 12:{txt:(}0.422{txt:)}}  {txt}

{txt}100.cong    {res}            0              0                             0              0                 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}                  {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}                 {txt}

{txt}101.cong    {res}      -0.0351         0.0195                       -0.0548          0.441                 {txt}
            {res} {ralign 12:{txt:(}0.0639{txt:)}}   {ralign 12:{txt:(}0.440{txt:)}}                  {ralign 12:{txt:(}0.0541{txt:)}}   {ralign 12:{txt:(}0.745{txt:)}}                 {txt}

{txt}102.cong    {res}      -0.0633         0.0316                       -0.0772          0.365                 {txt}
            {res} {ralign 12:{txt:(}0.0653{txt:)}}   {ralign 12:{txt:(}0.348{txt:)}}                  {ralign 12:{txt:(}0.0552{txt:)}}   {ralign 12:{txt:(}0.527{txt:)}}                 {txt}

{txt}103.cong    {res}       -0.263**        1.646**                      -0.222**        1.734*                {txt}
            {res} {ralign 12:{txt:(}0.0648{txt:)}}   {ralign 12:{txt:(}0.507{txt:)}}                  {ralign 12:{txt:(}0.0548{txt:)}}   {ralign 12:{txt:(}0.740{txt:)}}                 {txt}

{txt}104.cong    {res}       -0.107          0.831*                      -0.0824          0.406                 {txt}
            {res} {ralign 12:{txt:(}0.0673{txt:)}}   {ralign 12:{txt:(}0.367{txt:)}}                  {ralign 12:{txt:(}0.0570{txt:)}}   {ralign 12:{txt:(}0.704{txt:)}}                 {txt}

{txt}105.cong    {res}      -0.0801          0.757                       -0.0176         -0.364                 {txt}
            {res} {ralign 12:{txt:(}0.0775{txt:)}}   {ralign 12:{txt:(}0.503{txt:)}}                  {ralign 12:{txt:(}0.0656{txt:)}}   {ralign 12:{txt:(}0.411{txt:)}}                 {txt}

{txt}106.cong    {res}       -0.111          0.721                       -0.0386        -0.0811                 {txt}
            {res} {ralign 12:{txt:(}0.0669{txt:)}}   {ralign 12:{txt:(}0.467{txt:)}}                  {ralign 12:{txt:(}0.0566{txt:)}}   {ralign 12:{txt:(}0.547{txt:)}}                 {txt}

{txt}107.cong    {res}       0.0190          0.140                        0.0169          0.138                 {txt}
            {res} {ralign 12:{txt:(}0.0677{txt:)}}   {ralign 12:{txt:(}0.625{txt:)}}                  {ralign 12:{txt:(}0.0572{txt:)}}   {ralign 12:{txt:(}0.625{txt:)}}                 {txt}

{txt}108.cong    {res}      -0.0616          0.659                        -0.179**        1.232                 {txt}
            {res} {ralign 12:{txt:(}0.0746{txt:)}}   {ralign 12:{txt:(}0.744{txt:)}}                  {ralign 12:{txt:(}0.0629{txt:)}}   {ralign 12:{txt:(}0.902{txt:)}}                 {txt}

{txt}109.cong    {res}      -0.0994          0.697                        -0.168**        1.049                 {txt}
            {res} {ralign 12:{txt:(}0.0700{txt:)}}   {ralign 12:{txt:(}0.655{txt:)}}                  {ralign 12:{txt:(}0.0589{txt:)}}   {ralign 12:{txt:(}0.775{txt:)}}                 {txt}

{txt}110.cong    {res}      -0.1000          0.947                       -0.0247          0.485                 {txt}
            {res} {ralign 12:{txt:(}0.0742{txt:)}}   {ralign 12:{txt:(}0.581{txt:)}}                  {ralign 12:{txt:(}0.0635{txt:)}}   {ralign 12:{txt:(}0.746{txt:)}}                 {txt}

{txt}111.cong    {res}       -0.387**        1.935**                      -0.473**        2.326**               {txt}
            {res} {ralign 12:{txt:(}0.0727{txt:)}}   {ralign 12:{txt:(}0.574{txt:)}}                  {ralign 12:{txt:(}0.0629{txt:)}}   {ralign 12:{txt:(}0.463{txt:)}}                 {txt}

{txt}112.cong    {res}       -0.150*         1.050                        -0.111          1.125                 {txt}
            {res} {ralign 12:{txt:(}0.0692{txt:)}}   {ralign 12:{txt:(}0.537{txt:)}}                  {ralign 12:{txt:(}0.0593{txt:)}}   {ralign 12:{txt:(}0.667{txt:)}}                 {txt}

{txt}113.cong    {res}      -0.0442          1.248                        0.0264          0.699                 {txt}
            {res} {ralign 12:{txt:(}0.0873{txt:)}}   {ralign 12:{txt:(}0.652{txt:)}}                  {ralign 12:{txt:(}0.0751{txt:)}}   {ralign 12:{txt:(}0.834{txt:)}}                 {txt}

{txt}114.cong    {res}      -0.0182          0.330                        0.0520          0.132                 {txt}
            {res} {ralign 12:{txt:(}0.0791{txt:)}}   {ralign 12:{txt:(}0.725{txt:)}}                  {ralign 12:{txt:(}0.0680{txt:)}}   {ralign 12:{txt:(}0.760{txt:)}}                 {txt}

{txt}1.major     {res}            0                                            0                                {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                 {ralign 12:{txt:(}.{txt:)}}                                {txt}

{txt}2.major     {res}        0.298*                                       0.255*                               {txt}
            {res} {ralign 12:{txt:(}0.126{txt:)}}                                 {ralign 12:{txt:(}0.107{txt:)}}                                {txt}

{txt}3.major     {res}        0.379**                                      0.339**                              {txt}
            {res} {ralign 12:{txt:(}0.0855{txt:)}}                                 {ralign 12:{txt:(}0.0720{txt:)}}                                {txt}

{txt}4.major     {res}        0.296**                                      0.249**                              {txt}
            {res} {ralign 12:{txt:(}0.0880{txt:)}}                                 {ralign 12:{txt:(}0.0744{txt:)}}                                {txt}

{txt}5.major     {res}        0.328**                                      0.288**                              {txt}
            {res} {ralign 12:{txt:(}0.0994{txt:)}}                                 {ralign 12:{txt:(}0.0841{txt:)}}                                {txt}

{txt}6.major     {res}        0.297**                                      0.307**                              {txt}
            {res} {ralign 12:{txt:(}0.102{txt:)}}                                 {ralign 12:{txt:(}0.0868{txt:)}}                                {txt}

{txt}7.major     {res}        0.437**                                      0.377**                              {txt}
            {res} {ralign 12:{txt:(}0.108{txt:)}}                                 {ralign 12:{txt:(}0.0917{txt:)}}                                {txt}

{txt}8.major     {res}        0.423**                                      0.323**                              {txt}
            {res} {ralign 12:{txt:(}0.122{txt:)}}                                 {ralign 12:{txt:(}0.104{txt:)}}                                {txt}

{txt}10.major    {res}        0.397**                                      0.282**                              {txt}
            {res} {ralign 12:{txt:(}0.0813{txt:)}}                                 {ralign 12:{txt:(}0.0688{txt:)}}                                {txt}

{txt}12.major    {res}        0.251**                                      0.211**                              {txt}
            {res} {ralign 12:{txt:(}0.0946{txt:)}}                                 {ralign 12:{txt:(}0.0798{txt:)}}                                {txt}

{txt}13.major    {res}        0.413**                                      0.264**                              {txt}
            {res} {ralign 12:{txt:(}0.112{txt:)}}                                 {ralign 12:{txt:(}0.0940{txt:)}}                                {txt}

{txt}14.major    {res}        0.248                                        0.252*                               {txt}
            {res} {ralign 12:{txt:(}0.143{txt:)}}                                 {ralign 12:{txt:(}0.120{txt:)}}                                {txt}

{txt}15.major    {res}        0.311**                                      0.297**                              {txt}
            {res} {ralign 12:{txt:(}0.0813{txt:)}}                                 {ralign 12:{txt:(}0.0688{txt:)}}                                {txt}

{txt}16.major    {res}        0.342**                                      0.280**                              {txt}
            {res} {ralign 12:{txt:(}0.0730{txt:)}}                                 {ralign 12:{txt:(}0.0616{txt:)}}                                {txt}

{txt}17.major    {res}        0.198                                        0.361**                              {txt}
            {res} {ralign 12:{txt:(}0.108{txt:)}}                                 {ralign 12:{txt:(}0.0911{txt:)}}                                {txt}

{txt}18.major    {res}        0.192*                                       0.129                                {txt}
            {res} {ralign 12:{txt:(}0.0885{txt:)}}                                 {ralign 12:{txt:(}0.0751{txt:)}}                                {txt}

{txt}19.major    {res}        0.276**                                      0.251**                              {txt}
            {res} {ralign 12:{txt:(}0.0898{txt:)}}                                 {ralign 12:{txt:(}0.0755{txt:)}}                                {txt}

{txt}20.major    {res}        0.211**                                      0.165**                              {txt}
            {res} {ralign 12:{txt:(}0.0745{txt:)}}                                 {ralign 12:{txt:(}0.0628{txt:)}}                                {txt}

{txt}21.major    {res}        0.337**                                      0.267**                              {txt}
            {res} {ralign 12:{txt:(}0.0891{txt:)}}                                 {ralign 12:{txt:(}0.0754{txt:)}}                                {txt}

{txt}allcomm_in~x{res}                                                    0.0882*       -0.0875          0.141  {txt}
            {res}                                              {ralign 12:{txt:(}0.0360{txt:)}}   {ralign 12:{txt:(}0.376{txt:)}}   {ralign 12:{txt:(}0.424{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.258**        2.134**        4.008**{txt}
            {res}                                              {ralign 12:{txt:(}0.0670{txt:)}}   {ralign 12:{txt:(}0.702{txt:)}}   {ralign 12:{txt:(}1.383{txt:)}}  {txt}

{txt}_cons       {res}        0.583**       -2.153**       -3.545**        0.665**       -2.459**       -4.672**{txt}
            {res} {ralign 12:{txt:(}0.0824{txt:)}}   {ralign 12:{txt:(}0.473{txt:)}}   {ralign 12:{txt:(}0.519{txt:)}}   {ralign 12:{txt:(}0.0701{txt:)}}   {ralign 12:{txt:(}0.666{txt:)}}   {ralign 12:{txt:(}0.873{txt:)}}  {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A2
. eststo: reg senate1_percmin scomm_index sfloor_index approps i.cong i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(35, 585)      = {res}     6.38
{txt}       Model {c |} {res} 10.0880915        35  .288231185   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 26.4485593       585  .045211212   {txt}R-squared       ={res}    0.2761
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2328
{txt}       Total {c |} {res} 36.5366508       620  .058930082   {txt}Root MSE        =   {res} .21263

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pe~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2}-.0230841{col 26}{space 2} .0238363{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-.0698993{col 67}{space 3}  .023731
{txt}sfloor_index {c |}{col 14}{res}{space 2}-.1622683{col 26}{space 2} .0403311{col 37}{space 1}   -4.02{col 46}{space 3}0.000{col 54}{space 4}-.2414797{col 67}{space 3}-.0830568
{txt}{space 5}approps {c |}{col 14}{res}{space 2} -.013711{col 26}{space 2} .0231754{col 37}{space 1}   -0.59{col 46}{space 3}0.554{col 54}{space 4}-.0592281{col 67}{space 3} .0318061
{txt}{space 12} {c |}
{space 8}cong {c |}
{space 8}101  {c |}{col 14}{res}{space 2} .0187062{col 26}{space 2} .0444677{col 37}{space 1}    0.42{col 46}{space 3}0.674{col 54}{space 4}-.0686296{col 67}{space 3} .1060419
{txt}{space 8}102  {c |}{col 14}{res}{space 2}-.0167854{col 26}{space 2}  .045432{col 37}{space 1}   -0.37{col 46}{space 3}0.712{col 54}{space 4} -.106015{col 67}{space 3} .0724443
{txt}{space 8}103  {c |}{col 14}{res}{space 2}-.1196588{col 26}{space 2} .0450845{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4} -.208206{col 67}{space 3}-.0311116
{txt}{space 8}104  {c |}{col 14}{res}{space 2}-.0230127{col 26}{space 2} .0468093{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.1149476{col 67}{space 3} .0689221
{txt}{space 8}105  {c |}{col 14}{res}{space 2} .0799267{col 26}{space 2}  .053916{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0259657{col 67}{space 3} .1858191
{txt}{space 8}106  {c |}{col 14}{res}{space 2} .0475839{col 26}{space 2} .0465055{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0437542{col 67}{space 3}  .138922
{txt}{space 8}107  {c |}{col 14}{res}{space 2}  .054959{col 26}{space 2} .0467402{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}  -.03684{col 67}{space 3} .1467579
{txt}{space 8}108  {c |}{col 14}{res}{space 2}-.0344879{col 26}{space 2}  .051419{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.1354762{col 67}{space 3} .0665003
{txt}{space 8}109  {c |}{col 14}{res}{space 2}-.0078921{col 26}{space 2} .0482287{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-.1026146{col 67}{space 3} .0868304
{txt}{space 8}110  {c |}{col 14}{res}{space 2} .0178327{col 26}{space 2} .0514059{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}  -.08313{col 67}{space 3} .1187954
{txt}{space 8}111  {c |}{col 14}{res}{space 2}  -.23326{col 26}{space 2} .0504038{col 37}{space 1}   -4.63{col 46}{space 3}0.000{col 54}{space 4}-.3322545{col 67}{space 3}-.1342655
{txt}{space 8}112  {c |}{col 14}{res}{space 2} .0437003{col 26}{space 2} .0481604{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4} -.050888{col 67}{space 3} .1382886
{txt}{space 8}113  {c |}{col 14}{res}{space 2}-.2411486{col 26}{space 2} .0600908{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-.3591686{col 67}{space 3}-.1231286
{txt}{space 8}114  {c |}{col 14}{res}{space 2} .0525116{col 26}{space 2} .0549246{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.0553618{col 67}{space 3}  .160385
{txt}{space 12} {c |}
{space 7}major {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0912632{col 26}{space 2} .0878541{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.0812846{col 67}{space 3} .2638111
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2596669{col 26}{space 2} .0590804{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .1436314{col 67}{space 3} .3757024
{txt}{space 10}4  {c |}{col 14}{res}{space 2}   .16982{col 26}{space 2} .0610996{col 37}{space 1}    2.78{col 46}{space 3}0.006{col 54}{space 4} .0498187{col 67}{space 3} .2898214
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2288979{col 26}{space 2} .0691286{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .0931274{col 67}{space 3} .3646685
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2909046{col 26}{space 2} .0712286{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .1510096{col 67}{space 3} .4307996
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3008558{col 26}{space 2} .0753616{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .1528437{col 67}{space 3}  .448868
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2543301{col 26}{space 2} .0851534{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .0870866{col 67}{space 3} .4215736
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .2397625{col 26}{space 2} .0565374{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .1287216{col 67}{space 3} .3508035
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .2161941{col 26}{space 2} .0655815{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .0873902{col 67}{space 3}  .344998
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .2089079{col 26}{space 2} .0771862{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0573121{col 67}{space 3} .3605038
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .3060486{col 26}{space 2} .0990191{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .1115724{col 67}{space 3} .5005249
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .1124098{col 26}{space 2} .0566587{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0011306{col 67}{space 3} .2236891
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .2463627{col 26}{space 2} .0504383{col 37}{space 1}    4.88{col 46}{space 3}0.000{col 54}{space 4} .1473005{col 67}{space 3} .3454249
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .2259959{col 26}{space 2}  .075022{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0786506{col 67}{space 3} .3733412
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .0927188{col 26}{space 2} .0619821{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.0290157{col 67}{space 3} .2144534
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .2287789{col 26}{space 2} .0619047{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} .1071964{col 67}{space 3} .3503614
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .1672387{col 26}{space 2} .0516949{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0657086{col 67}{space 3} .2687688
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .2782431{col 26}{space 2} .0620002{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4}  .156473{col 67}{space 3} .4000133
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .7092825{col 26}{space 2} .0571476{col 37}{space 1}   12.41{col 46}{space 3}0.000{col 54}{space 4} .5970431{col 67}{space 3} .8215219
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: logit senate1_pv50 scomm_index sfloor_index approps, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-246.08701}  
Iteration 1:{space 3}log pseudolikelihood = {res: -228.1458}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -224.838}  
Iteration 3:{space 3}log pseudolikelihood = {res:-224.83348}  
Iteration 4:{space 3}log pseudolikelihood = {res:-224.83348}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}    141.96
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-224.83348{txt}{col 49}Pseudo R2{col 67}= {res}    0.0864

{txt}{ralign 78:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}senate1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} .7982189{col 26}{space 2} .2238229{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4}  .359534{col 67}{space 3} 1.236904
{txt}sfloor_index {c |}{col 14}{res}{space 2} 2.084171{col 26}{space 2}    .2285{col 37}{space 1}    9.12{col 46}{space 3}0.000{col 54}{space 4} 1.636319{col 67}{space 3} 2.532023
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.2427745{col 26}{space 2} .2107577{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4}-.6558519{col 67}{space 3}  .170303
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.462888{col 26}{space 2} .2325052{col 37}{space 1}  -10.59{col 46}{space 3}0.000{col 54}{space 4} -2.91859{col 67}{space 3}-2.007186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: logit senate1_pv90 scomm_index sfloor_index approps, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-70.666577}  
Iteration 1:{space 3}log pseudolikelihood = {res:-62.205755}  
Iteration 2:{space 3}log pseudolikelihood = {res: -59.95481}  
Iteration 3:{space 3}log pseudolikelihood = {res:-59.897933}  
Iteration 4:{space 3}log pseudolikelihood = {res:-59.897882}  
Iteration 5:{space 3}log pseudolikelihood = {res:-59.897882}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     37.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-59.897882{txt}{col 49}Pseudo R2{col 67}= {res}    0.1524

{txt}{ralign 78:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}senate1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} 1.525343{col 26}{space 2} .5278476{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .4907808{col 67}{space 3} 2.559905
{txt}sfloor_index {c |}{col 14}{res}{space 2}   2.3842{col 26}{space 2} .7620217{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .8906648{col 67}{space 3} 3.877735
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-1.060189{col 26}{space 2} .7644423{col 37}{space 1}   -1.39{col 46}{space 3}0.165{col 54}{space 4}-2.558469{col 67}{space 3} .4380901
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.777366{col 26}{space 2} .7059862{col 37}{space 1}   -6.77{col 46}{space 3}0.000{col 54}{space 4}-6.161074{col 67}{space 3}-3.393659
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: reg senatef_percmin allcomm_index allfloor_index approps i.cong i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(35, 585)      = {res}     7.07
{txt}       Model {c |} {res} 10.7992774        35  .308550784   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  25.537366       585  .043653617   {txt}R-squared       ={res}    0.2972
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2552
{txt}       Total {c |} {res} 36.3366434       620  .058607489   {txt}Root MSE        =   {res} .20893

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_perc~n{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}  .018327{col 28}{space 2} .0290892{col 39}{space 1}    0.63{col 48}{space 3}0.529{col 56}{space 4} -.038805{col 69}{space 3} .0754591
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.1513443{col 28}{space 2} .0541205{col 39}{space 1}   -2.80{col 48}{space 3}0.005{col 56}{space 4}-.2576384{col 69}{space 3}-.0450502
{txt}{space 7}approps {c |}{col 16}{res}{space 2}  -.01297{col 28}{space 2} .0229505{col 39}{space 1}   -0.57{col 48}{space 3}0.572{col 56}{space 4}-.0580455{col 69}{space 3} .0321054
{txt}{space 14} {c |}
{space 10}cong {c |}
{space 10}101  {c |}{col 16}{res}{space 2}-.0141413{col 28}{space 2} .0436774{col 39}{space 1}   -0.32{col 48}{space 3}0.746{col 56}{space 4}-.0999249{col 69}{space 3} .0716422
{txt}{space 10}102  {c |}{col 16}{res}{space 2}-.0459448{col 28}{space 2} .0446289{col 39}{space 1}   -1.03{col 48}{space 3}0.304{col 56}{space 4}-.1335972{col 69}{space 3} .0417075
{txt}{space 10}103  {c |}{col 16}{res}{space 2}-.1757027{col 28}{space 2}  .044295{col 39}{space 1}   -3.97{col 48}{space 3}0.000{col 56}{space 4}-.2626993{col 69}{space 3}-.0887062
{txt}{space 10}104  {c |}{col 16}{res}{space 2}-.1369812{col 28}{space 2} .0460125{col 39}{space 1}   -2.98{col 48}{space 3}0.003{col 56}{space 4} -.227351{col 69}{space 3}-.0466113
{txt}{space 10}105  {c |}{col 16}{res}{space 2}-.0353927{col 28}{space 2} .0529818{col 39}{space 1}   -0.67{col 48}{space 3}0.504{col 56}{space 4}-.1394504{col 69}{space 3}  .068665
{txt}{space 10}106  {c |}{col 16}{res}{space 2}-.0768719{col 28}{space 2}  .045731{col 39}{space 1}   -1.68{col 48}{space 3}0.093{col 56}{space 4}-.1666889{col 69}{space 3} .0129451
{txt}{space 10}107  {c |}{col 16}{res}{space 2}-.0382683{col 28}{space 2} .0462228{col 39}{space 1}   -0.83{col 48}{space 3}0.408{col 56}{space 4}-.1290512{col 69}{space 3} .0525145
{txt}{space 10}108  {c |}{col 16}{res}{space 2}-.1493608{col 28}{space 2} .0507799{col 39}{space 1}   -2.94{col 48}{space 3}0.003{col 56}{space 4} -.249094{col 69}{space 3}-.0496276
{txt}{space 10}109  {c |}{col 16}{res}{space 2}-.1214856{col 28}{space 2} .0476052{col 39}{space 1}   -2.55{col 48}{space 3}0.011{col 56}{space 4}-.2149835{col 69}{space 3}-.0279876
{txt}{space 10}110  {c |}{col 16}{res}{space 2}-.0538267{col 28}{space 2} .0512846{col 39}{space 1}   -1.05{col 48}{space 3}0.294{col 56}{space 4}-.1545511{col 69}{space 3} .0468977
{txt}{space 10}111  {c |}{col 16}{res}{space 2}-.3880598{col 28}{space 2} .0508118{col 39}{space 1}   -7.64{col 48}{space 3}0.000{col 56}{space 4}-.4878556{col 69}{space 3}-.2882641
{txt}{space 10}112  {c |}{col 16}{res}{space 2}-.0911031{col 28}{space 2} .0478741{col 39}{space 1}   -1.90{col 48}{space 3}0.058{col 56}{space 4}-.1851291{col 69}{space 3} .0029229
{txt}{space 10}113  {c |}{col 16}{res}{space 2} -.303913{col 28}{space 2} .0606657{col 39}{space 1}   -5.01{col 48}{space 3}0.000{col 56}{space 4} -.423062{col 69}{space 3}-.1847639
{txt}{space 10}114  {c |}{col 16}{res}{space 2}-.0174695{col 28}{space 2} .0549476{col 39}{space 1}   -0.32{col 48}{space 3}0.751{col 56}{space 4} -.125388{col 69}{space 3}  .090449
{txt}{space 14} {c |}
{space 9}major {c |}
{space 12}2  {c |}{col 16}{res}{space 2}  .112784{col 28}{space 2} .0862831{col 39}{space 1}    1.31{col 48}{space 3}0.192{col 56}{space 4}-.0566783{col 69}{space 3} .2822464
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .2539003{col 28}{space 2} .0581788{col 39}{space 1}    4.36{col 48}{space 3}0.000{col 56}{space 4} .1396355{col 69}{space 3} .3681652
{txt}{space 12}4  {c |}{col 16}{res}{space 2} .1900345{col 28}{space 2} .0600891{col 39}{space 1}    3.16{col 48}{space 3}0.002{col 56}{space 4} .0720179{col 69}{space 3} .3080512
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .2080705{col 28}{space 2} .0679534{col 39}{space 1}    3.06{col 48}{space 3}0.002{col 56}{space 4} .0746082{col 69}{space 3} .3415328
{txt}{space 12}6  {c |}{col 16}{res}{space 2}  .249736{col 28}{space 2} .0701254{col 39}{space 1}    3.56{col 48}{space 3}0.000{col 56}{space 4} .1120079{col 69}{space 3} .3874642
{txt}{space 12}7  {c |}{col 16}{res}{space 2} .2983363{col 28}{space 2} .0740772{col 39}{space 1}    4.03{col 48}{space 3}0.000{col 56}{space 4} .1528466{col 69}{space 3} .4438259
{txt}{space 12}8  {c |}{col 16}{res}{space 2} .2692639{col 28}{space 2}  .083664{col 39}{space 1}    3.22{col 48}{space 3}0.001{col 56}{space 4} .1049455{col 69}{space 3} .4335823
{txt}{space 11}10  {c |}{col 16}{res}{space 2}  .253567{col 28}{space 2} .0555366{col 39}{space 1}    4.57{col 48}{space 3}0.000{col 56}{space 4} .1444915{col 69}{space 3} .3626425
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .2273945{col 28}{space 2} .0644537{col 39}{space 1}    3.53{col 48}{space 3}0.000{col 56}{space 4} .1008057{col 69}{space 3} .3539834
{txt}{space 11}13  {c |}{col 16}{res}{space 2}  .176321{col 28}{space 2} .0759374{col 39}{space 1}    2.32{col 48}{space 3}0.021{col 56}{space 4} .0271779{col 69}{space 3}  .325464
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .2343236{col 28}{space 2} .0972966{col 39}{space 1}    2.41{col 48}{space 3}0.016{col 56}{space 4} .0432305{col 69}{space 3} .4254168
{txt}{space 11}15  {c |}{col 16}{res}{space 2} .1740098{col 28}{space 2} .0555983{col 39}{space 1}    3.13{col 48}{space 3}0.002{col 56}{space 4} .0648132{col 69}{space 3} .2832065
{txt}{space 11}16  {c |}{col 16}{res}{space 2}  .244269{col 28}{space 2} .0497434{col 39}{space 1}    4.91{col 48}{space 3}0.000{col 56}{space 4} .1465716{col 69}{space 3} .3419664
{txt}{space 11}17  {c |}{col 16}{res}{space 2} .2685519{col 28}{space 2} .0736025{col 39}{space 1}    3.65{col 48}{space 3}0.000{col 56}{space 4} .1239945{col 69}{space 3} .4131093
{txt}{space 11}18  {c |}{col 16}{res}{space 2} .1200839{col 28}{space 2} .0606785{col 39}{space 1}    1.98{col 48}{space 3}0.048{col 56}{space 4} .0009097{col 69}{space 3} .2392581
{txt}{space 11}19  {c |}{col 16}{res}{space 2} .2550807{col 28}{space 2} .0609836{col 39}{space 1}    4.18{col 48}{space 3}0.000{col 56}{space 4} .1353072{col 69}{space 3} .3748542
{txt}{space 11}20  {c |}{col 16}{res}{space 2} .1931554{col 28}{space 2} .0507648{col 39}{space 1}    3.80{col 48}{space 3}0.000{col 56}{space 4} .0934519{col 69}{space 3} .2928589
{txt}{space 11}21  {c |}{col 16}{res}{space 2} .2678737{col 28}{space 2}  .060888{col 39}{space 1}    4.40{col 48}{space 3}0.000{col 56}{space 4} .1482881{col 69}{space 3} .3874594
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} .7911879{col 28}{space 2} .0566483{col 39}{space 1}   13.97{col 48}{space 3}0.000{col 56}{space 4} .6799291{col 69}{space 3} .9024467
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. eststo: logit senatef_pv50 allcomm_index allfloor_index approps, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-238.55464}  
Iteration 1:{space 3}log pseudolikelihood = {res:-217.97358}  
Iteration 2:{space 3}log pseudolikelihood = {res:-214.46413}  
Iteration 3:{space 3}log pseudolikelihood = {res:-214.45515}  
Iteration 4:{space 3}log pseudolikelihood = {res:-214.45515}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     95.13
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-214.45515{txt}{col 49}Pseudo R2{col 67}= {res}    0.1010

{txt}{ralign 80:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .5156135{col 28}{space 2} .2888658{col 39}{space 1}    1.78{col 48}{space 3}0.074{col 56}{space 4} -.050553{col 69}{space 3}  1.08178
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.971528{col 28}{space 2} .3994778{col 39}{space 1}    7.44{col 48}{space 3}0.000{col 56}{space 4} 2.188566{col 69}{space 3}  3.75449
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0790092{col 28}{space 2} .2040784{col 39}{space 1}   -0.39{col 48}{space 3}0.699{col 56}{space 4}-.4789955{col 69}{space 3}  .320977
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-2.954768{col 28}{space 2} .2333001{col 39}{space 1}  -12.67{col 48}{space 3}0.000{col 56}{space 4}-3.412028{col 69}{space 3}-2.497509
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}. eststo: logit senatef_pv90 allcomm_index allfloor_index approps, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-66.932823}  
Iteration 1:{space 3}log pseudolikelihood = {res: -63.50942}  
Iteration 2:{space 3}log pseudolikelihood = {res:-55.871327}  
Iteration 3:{space 3}log pseudolikelihood = {res:-55.644255}  
Iteration 4:{space 3}log pseudolikelihood = {res:-55.640562}  
Iteration 5:{space 3}log pseudolikelihood = {res:-55.640558}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     90.44
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-55.640558{txt}{col 49}Pseudo R2{col 67}= {res}    0.1687

{txt}{ralign 80:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} 1.185575{col 28}{space 2} .6238098{col 39}{space 1}    1.90{col 48}{space 3}0.057{col 56}{space 4}-.0370694{col 69}{space 3}  2.40822
{txt}allfloor_index {c |}{col 16}{res}{space 2} 3.252892{col 28}{space 2} .9034921{col 39}{space 1}    3.60{col 48}{space 3}0.000{col 56}{space 4}  1.48208{col 69}{space 3} 5.023704
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.870026{col 28}{space 2} 1.415943{col 39}{space 1}   -1.32{col 48}{space 3}0.187{col 56}{space 4}-4.645223{col 69}{space 3} .9051719
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-5.121511{col 28}{space 2} .7288969{col 39}{space 1}   -7.03{col 48}{space 3}0.000{col 56}{space 4}-6.550123{col 69}{space 3}  -3.6929
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}scomm_index {res}      -0.0231          0.798**        1.525**                                             {txt}
            {res} {ralign 12:{txt:(}0.0238{txt:)}}   {ralign 12:{txt:(}0.224{txt:)}}   {ralign 12:{txt:(}0.528{txt:)}}                                               {txt}

{txt}sfloor_index{res}       -0.162**        2.084**        2.384**                                             {txt}
            {res} {ralign 12:{txt:(}0.0403{txt:)}}   {ralign 12:{txt:(}0.229{txt:)}}   {ralign 12:{txt:(}0.762{txt:)}}                                               {txt}

{txt}approps     {res}      -0.0137         -0.243         -1.060        -0.0130        -0.0790         -1.870  {txt}
            {res} {ralign 12:{txt:(}0.0232{txt:)}}   {ralign 12:{txt:(}0.211{txt:)}}   {ralign 12:{txt:(}0.764{txt:)}}   {ralign 12:{txt:(}0.0230{txt:)}}   {ralign 12:{txt:(}0.204{txt:)}}   {ralign 12:{txt:(}1.416{txt:)}}  {txt}

{txt}100.cong    {res}            0                                            0                                {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                 {ralign 12:{txt:(}.{txt:)}}                                {txt}

{txt}101.cong    {res}       0.0187                                      -0.0141                                {txt}
            {res} {ralign 12:{txt:(}0.0445{txt:)}}                                 {ralign 12:{txt:(}0.0437{txt:)}}                                {txt}

{txt}102.cong    {res}      -0.0168                                      -0.0459                                {txt}
            {res} {ralign 12:{txt:(}0.0454{txt:)}}                                 {ralign 12:{txt:(}0.0446{txt:)}}                                {txt}

{txt}103.cong    {res}       -0.120**                                     -0.176**                              {txt}
            {res} {ralign 12:{txt:(}0.0451{txt:)}}                                 {ralign 12:{txt:(}0.0443{txt:)}}                                {txt}

{txt}104.cong    {res}      -0.0230                                       -0.137**                              {txt}
            {res} {ralign 12:{txt:(}0.0468{txt:)}}                                 {ralign 12:{txt:(}0.0460{txt:)}}                                {txt}

{txt}105.cong    {res}       0.0799                                      -0.0354                                {txt}
            {res} {ralign 12:{txt:(}0.0539{txt:)}}                                 {ralign 12:{txt:(}0.0530{txt:)}}                                {txt}

{txt}106.cong    {res}       0.0476                                      -0.0769                                {txt}
            {res} {ralign 12:{txt:(}0.0465{txt:)}}                                 {ralign 12:{txt:(}0.0457{txt:)}}                                {txt}

{txt}107.cong    {res}       0.0550                                      -0.0383                                {txt}
            {res} {ralign 12:{txt:(}0.0467{txt:)}}                                 {ralign 12:{txt:(}0.0462{txt:)}}                                {txt}

{txt}108.cong    {res}      -0.0345                                       -0.149**                              {txt}
            {res} {ralign 12:{txt:(}0.0514{txt:)}}                                 {ralign 12:{txt:(}0.0508{txt:)}}                                {txt}

{txt}109.cong    {res}     -0.00789                                       -0.121*                               {txt}
            {res} {ralign 12:{txt:(}0.0482{txt:)}}                                 {ralign 12:{txt:(}0.0476{txt:)}}                                {txt}

{txt}110.cong    {res}       0.0178                                      -0.0538                                {txt}
            {res} {ralign 12:{txt:(}0.0514{txt:)}}                                 {ralign 12:{txt:(}0.0513{txt:)}}                                {txt}

{txt}111.cong    {res}       -0.233**                                     -0.388**                              {txt}
            {res} {ralign 12:{txt:(}0.0504{txt:)}}                                 {ralign 12:{txt:(}0.0508{txt:)}}                                {txt}

{txt}112.cong    {res}       0.0437                                      -0.0911                                {txt}
            {res} {ralign 12:{txt:(}0.0482{txt:)}}                                 {ralign 12:{txt:(}0.0479{txt:)}}                                {txt}

{txt}113.cong    {res}       -0.241**                                     -0.304**                              {txt}
            {res} {ralign 12:{txt:(}0.0601{txt:)}}                                 {ralign 12:{txt:(}0.0607{txt:)}}                                {txt}

{txt}114.cong    {res}       0.0525                                      -0.0175                                {txt}
            {res} {ralign 12:{txt:(}0.0549{txt:)}}                                 {ralign 12:{txt:(}0.0549{txt:)}}                                {txt}

{txt}1.major     {res}            0                                            0                                {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                 {ralign 12:{txt:(}.{txt:)}}                                {txt}

{txt}2.major     {res}       0.0913                                        0.113                                {txt}
            {res} {ralign 12:{txt:(}0.0879{txt:)}}                                 {ralign 12:{txt:(}0.0863{txt:)}}                                {txt}

{txt}3.major     {res}        0.260**                                      0.254**                              {txt}
            {res} {ralign 12:{txt:(}0.0591{txt:)}}                                 {ralign 12:{txt:(}0.0582{txt:)}}                                {txt}

{txt}4.major     {res}        0.170**                                      0.190**                              {txt}
            {res} {ralign 12:{txt:(}0.0611{txt:)}}                                 {ralign 12:{txt:(}0.0601{txt:)}}                                {txt}

{txt}5.major     {res}        0.229**                                      0.208**                              {txt}
            {res} {ralign 12:{txt:(}0.0691{txt:)}}                                 {ralign 12:{txt:(}0.0680{txt:)}}                                {txt}

{txt}6.major     {res}        0.291**                                      0.250**                              {txt}
            {res} {ralign 12:{txt:(}0.0712{txt:)}}                                 {ralign 12:{txt:(}0.0701{txt:)}}                                {txt}

{txt}7.major     {res}        0.301**                                      0.298**                              {txt}
            {res} {ralign 12:{txt:(}0.0754{txt:)}}                                 {ralign 12:{txt:(}0.0741{txt:)}}                                {txt}

{txt}8.major     {res}        0.254**                                      0.269**                              {txt}
            {res} {ralign 12:{txt:(}0.0852{txt:)}}                                 {ralign 12:{txt:(}0.0837{txt:)}}                                {txt}

{txt}10.major    {res}        0.240**                                      0.254**                              {txt}
            {res} {ralign 12:{txt:(}0.0565{txt:)}}                                 {ralign 12:{txt:(}0.0555{txt:)}}                                {txt}

{txt}12.major    {res}        0.216**                                      0.227**                              {txt}
            {res} {ralign 12:{txt:(}0.0656{txt:)}}                                 {ralign 12:{txt:(}0.0645{txt:)}}                                {txt}

{txt}13.major    {res}        0.209**                                      0.176*                               {txt}
            {res} {ralign 12:{txt:(}0.0772{txt:)}}                                 {ralign 12:{txt:(}0.0759{txt:)}}                                {txt}

{txt}14.major    {res}        0.306**                                      0.234*                               {txt}
            {res} {ralign 12:{txt:(}0.0990{txt:)}}                                 {ralign 12:{txt:(}0.0973{txt:)}}                                {txt}

{txt}15.major    {res}        0.112*                                       0.174**                              {txt}
            {res} {ralign 12:{txt:(}0.0567{txt:)}}                                 {ralign 12:{txt:(}0.0556{txt:)}}                                {txt}

{txt}16.major    {res}        0.246**                                      0.244**                              {txt}
            {res} {ralign 12:{txt:(}0.0504{txt:)}}                                 {ralign 12:{txt:(}0.0497{txt:)}}                                {txt}

{txt}17.major    {res}        0.226**                                      0.269**                              {txt}
            {res} {ralign 12:{txt:(}0.0750{txt:)}}                                 {ralign 12:{txt:(}0.0736{txt:)}}                                {txt}

{txt}18.major    {res}       0.0927                                        0.120*                               {txt}
            {res} {ralign 12:{txt:(}0.0620{txt:)}}                                 {ralign 12:{txt:(}0.0607{txt:)}}                                {txt}

{txt}19.major    {res}        0.229**                                      0.255**                              {txt}
            {res} {ralign 12:{txt:(}0.0619{txt:)}}                                 {ralign 12:{txt:(}0.0610{txt:)}}                                {txt}

{txt}20.major    {res}        0.167**                                      0.193**                              {txt}
            {res} {ralign 12:{txt:(}0.0517{txt:)}}                                 {ralign 12:{txt:(}0.0508{txt:)}}                                {txt}

{txt}21.major    {res}        0.278**                                      0.268**                              {txt}
            {res} {ralign 12:{txt:(}0.0620{txt:)}}                                 {ralign 12:{txt:(}0.0609{txt:)}}                                {txt}

{txt}allcomm_in~x{res}                                                    0.0183          0.516          1.186  {txt}
            {res}                                              {ralign 12:{txt:(}0.0291{txt:)}}   {ralign 12:{txt:(}0.289{txt:)}}   {ralign 12:{txt:(}0.624{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.151**        2.972**        3.253**{txt}
            {res}                                              {ralign 12:{txt:(}0.0541{txt:)}}   {ralign 12:{txt:(}0.399{txt:)}}   {ralign 12:{txt:(}0.903{txt:)}}  {txt}

{txt}_cons       {res}        0.709**       -2.463**       -4.777**        0.791**       -2.955**       -5.122**{txt}
            {res} {ralign 12:{txt:(}0.0571{txt:)}}   {ralign 12:{txt:(}0.233{txt:)}}   {ralign 12:{txt:(}0.706{txt:)}}   {ralign 12:{txt:(}0.0566{txt:)}}   {ralign 12:{txt:(}0.233{txt:)}}   {ralign 12:{txt:(}0.729{txt:)}}  {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. * Table A3
. eststo: mixed house1_percmin h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-146.24268}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-146.24268}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    83.95
{txt}Log likelihood = {res}-146.24268{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  house1_percmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2} .0641913{col 30}{space 2} .0380424{col 41}{space 1}    1.69{col 50}{space 3}0.092{col 58}{space 4}-.0103703{col 71}{space 3}  .138753
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2} .0049746{col 30}{space 2}  .044634{col 41}{space 1}    0.11{col 50}{space 3}0.911{col 58}{space 4}-.0825065{col 71}{space 3} .0924557
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2}-.2147422{col 30}{space 2} .0388124{col 41}{space 1}   -5.53{col 50}{space 3}0.000{col 58}{space 4}-.2908131{col 71}{space 3}-.1386713
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2} .0394612{col 30}{space 2} .0283238{col 41}{space 1}    1.39{col 50}{space 3}0.164{col 58}{space 4}-.0160524{col 71}{space 3} .0949748
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2}-.1457045{col 30}{space 2} .0285046{col 41}{space 1}   -5.11{col 50}{space 3}0.000{col 58}{space 4}-.2015725{col 71}{space 3}-.0898365
{txt}{space 9}approps {c |}{col 18}{res}{space 2} -.107665{col 30}{space 2} .0298124{col 41}{space 1}   -3.61{col 50}{space 3}0.000{col 58}{space 4}-.1660962{col 71}{space 3}-.0492337
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7705258{col 30}{space 2} .0360963{col 41}{space 1}   21.35{col 50}{space 3}0.000{col 58}{space 4} .6997782{col 71}{space 3} .8412733
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0077791{col 44}  .003675{col 58} .0030818{col 70}  .019636
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0046751{col 44} .0027432{col 58} .0014802{col 70} .0147658
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0881904{col 44} .0051351{col 58}  .078679{col 70} .0988517
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}41.93{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit house1_pv50 h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-351.46533}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-346.69539}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-345.44834}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-345.44834}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-345.12434}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-345.08916}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -345.0891}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res: -345.0891}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    42.91
{txt}Log likelihood = {res} -345.0891{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     house1_pv50{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2}-.5549484{col 30}{space 2} .3131455{col 41}{space 1}   -1.77{col 50}{space 3}0.076{col 58}{space 4}-1.168702{col 71}{space 3} .0588055
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2} .7030939{col 30}{space 2} .3556646{col 41}{space 1}    1.98{col 50}{space 3}0.048{col 58}{space 4} .0060041{col 71}{space 3} 1.400184
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2} 1.286438{col 30}{space 2} .2946308{col 41}{space 1}    4.37{col 50}{space 3}0.000{col 58}{space 4} .7089722{col 71}{space 3} 1.863904
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2}-.2680441{col 30}{space 2} .2270701{col 41}{space 1}   -1.18{col 50}{space 3}0.238{col 58}{space 4}-.7130932{col 71}{space 3} .1770051
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2} .7994324{col 30}{space 2} .2202634{col 41}{space 1}    3.63{col 50}{space 3}0.000{col 58}{space 4} .3677241{col 71}{space 3} 1.231141
{txt}{space 9}approps {c |}{col 18}{res}{space 2} .3242034{col 30}{space 2} .2407507{col 41}{space 1}    1.35{col 50}{space 3}0.178{col 58}{space 4}-.1476592{col 71}{space 3} .7960661
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-1.345332{col 30}{space 2}  .262341{col 41}{space 1}   -5.13{col 50}{space 3}0.000{col 58}{space 4}-1.859511{col 71}{space 3} -.831153
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .2383588{col 44} .1398115{col 58} .0755007{col 70} .7525082
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .295643{col 44}  .183594{col 58} .0875331{col 70} .9985344
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}23.72{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit house1_pv90 h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:  -156.826}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-152.92841}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-152.66203}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-152.66203}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-152.26131}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-152.06474}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-151.78091}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-151.76634}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-151.76631}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res:-151.76631}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    13.70
{txt}Log likelihood = {res}-151.76631{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0332

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     house1_pv90{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2}-.4559265{col 30}{space 2} .5294396{col 41}{space 1}   -0.86{col 50}{space 3}0.389{col 58}{space 4}-1.493609{col 71}{space 3} .5817559
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2} .6182256{col 30}{space 2} .5557535{col 41}{space 1}    1.11{col 50}{space 3}0.266{col 58}{space 4}-.4710313{col 71}{space 3} 1.707482
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2} .7087611{col 30}{space 2} .4343847{col 41}{space 1}    1.63{col 50}{space 3}0.103{col 58}{space 4}-.1426173{col 71}{space 3} 1.560139
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2} .4129448{col 30}{space 2} .3804937{col 41}{space 1}    1.09{col 50}{space 3}0.278{col 58}{space 4}-.3328092{col 71}{space 3} 1.158699
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2} .6761704{col 30}{space 2} .3449524{col 41}{space 1}    1.96{col 50}{space 3}0.050{col 58}{space 4} .0000762{col 71}{space 3} 1.352265
{txt}{space 9}approps {c |}{col 18}{res}{space 2} .4187517{col 30}{space 2} .3793144{col 41}{space 1}    1.10{col 50}{space 3}0.270{col 58}{space 4}-.3246908{col 71}{space 3} 1.162194
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}  -3.4917{col 30}{space 2} .3833974{col 41}{space 1}   -9.11{col 50}{space 3}0.000{col 58}{space 4}-4.243145{col 71}{space 3}-2.740255
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .1673342{col 44} .2494764{col 58} .0090061{col 70} 3.109067
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .2828677{col 44}  .282177{col 58} .0400369{col 70}  1.99851
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}2.42{col 59}{txt}Prob > chi2 ={col 73}{res}0.2975

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed housef_percmin h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj no_conference approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-31.543967}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -31.54396}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -31.54396}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}12{txt}){col 67}={col 70}{res}    96.54
{txt}Log likelihood = {res} -31.54396{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  housef_percmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2} .0102567{col 30}{space 2} .0343521{col 41}{space 1}    0.30{col 50}{space 3}0.765{col 58}{space 4}-.0570721{col 71}{space 3} .0775855
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2} .0183524{col 30}{space 2} .0391309{col 41}{space 1}    0.47{col 50}{space 3}0.639{col 58}{space 4}-.0583427{col 71}{space 3} .0950475
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2}-.2445107{col 30}{space 2} .0328651{col 41}{space 1}   -7.44{col 50}{space 3}0.000{col 58}{space 4}-.3089251{col 71}{space 3}-.1800963
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2}-.0058824{col 30}{space 2} .0237016{col 41}{space 1}   -0.25{col 50}{space 3}0.804{col 58}{space 4}-.0523366{col 71}{space 3} .0405718
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2}-.0411208{col 30}{space 2} .0242878{col 41}{space 1}   -1.69{col 50}{space 3}0.090{col 58}{space 4}-.0887239{col 71}{space 3} .0064824
{txt}s_nocommhearings {c |}{col 18}{res}{space 2} -.043615{col 30}{space 2}  .033063{col 41}{space 1}   -1.32{col 50}{space 3}0.187{col 58}{space 4}-.1084173{col 71}{space 3} .0211873
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2} .0381034{col 30}{space 2} .0332084{col 41}{space 1}    1.15{col 50}{space 3}0.251{col 58}{space 4}-.0269839{col 71}{space 3} .1031906
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2}-.0655668{col 30}{space 2} .0434773{col 41}{space 1}   -1.51{col 50}{space 3}0.132{col 58}{space 4}-.1507807{col 71}{space 3} .0196472
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2} .0052543{col 30}{space 2} .0310517{col 41}{space 1}    0.17{col 50}{space 3}0.866{col 58}{space 4}-.0556059{col 71}{space 3} .0661144
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2}-.0323014{col 30}{space 2} .0289607{col 41}{space 1}   -1.12{col 50}{space 3}0.265{col 58}{space 4}-.0890633{col 71}{space 3} .0244604
{txt}{space 3}no_conference {c |}{col 18}{res}{space 2} .1227441{col 30}{space 2} .0284679{col 41}{space 1}    4.31{col 50}{space 3}0.000{col 58}{space 4}  .066948{col 71}{space 3} .1785401
{txt}{space 9}approps {c |}{col 18}{res}{space 2}  .041963{col 30}{space 2} .0266113{col 41}{space 1}    1.58{col 50}{space 3}0.115{col 58}{space 4}-.0101941{col 71}{space 3} .0941202
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}  .772574{col 30}{space 2} .0401316{col 41}{space 1}   19.25{col 50}{space 3}0.000{col 58}{space 4} .6939175{col 71}{space 3} .8512304
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0128665{col 44} .0053149{col 58} .0057259{col 70}  .028912
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0023258{col 44} .0014942{col 58} .0006603{col 70} .0081927
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0601636{col 44} .0034993{col 58} .0536815{col 70} .0674283
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}83.05{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit housef_pv50 h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj no_conference approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -296.5063}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-291.80593}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-291.74093}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-291.74093}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-291.18067}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-291.13164}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-291.13156}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-291.13156}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}12{txt}){col 67}={col 70}{res}    44.90
{txt}Log likelihood = {res}-291.13156{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     housef_pv50{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2}-.4284416{col 30}{space 2} .3891388{col 41}{space 1}   -1.10{col 50}{space 3}0.271{col 58}{space 4} -1.19114{col 71}{space 3} .3342564
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2}  .873501{col 30}{space 2} .4285144{col 41}{space 1}    2.04{col 50}{space 3}0.042{col 58}{space 4} .0336281{col 71}{space 3} 1.713374
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2} 1.574731{col 30}{space 2} .3148354{col 41}{space 1}    5.00{col 50}{space 3}0.000{col 58}{space 4} .9576654{col 71}{space 3} 2.191797
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2}-.1334885{col 30}{space 2} .2539059{col 41}{space 1}   -0.53{col 50}{space 3}0.599{col 58}{space 4} -.631135{col 71}{space 3}  .364158
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2} .1795859{col 30}{space 2} .2546899{col 41}{space 1}    0.71{col 50}{space 3}0.481{col 58}{space 4}-.3195972{col 71}{space 3}  .678769
{txt}s_nocommhearings {c |}{col 18}{res}{space 2} .3561529{col 30}{space 2} .3582178{col 41}{space 1}    0.99{col 50}{space 3}0.320{col 58}{space 4}-.3459412{col 71}{space 3} 1.058247
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2}-.5008219{col 30}{space 2} .3723998{col 41}{space 1}   -1.34{col 50}{space 3}0.179{col 58}{space 4}-1.230712{col 71}{space 3} .2290683
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2} .5846626{col 30}{space 2} .4200536{col 41}{space 1}    1.39{col 50}{space 3}0.164{col 58}{space 4}-.2386273{col 71}{space 3} 1.407953
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2} .1936654{col 30}{space 2} .3106902{col 41}{space 1}    0.62{col 50}{space 3}0.533{col 58}{space 4}-.4152762{col 71}{space 3} .8026069
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2} .0713271{col 30}{space 2} .3003508{col 41}{space 1}    0.24{col 50}{space 3}0.812{col 58}{space 4}-.5173496{col 71}{space 3} .6600038
{txt}{space 3}no_conference {c |}{col 18}{res}{space 2}-.6346106{col 30}{space 2} .3068933{col 41}{space 1}   -2.07{col 50}{space 3}0.039{col 58}{space 4} -1.23611{col 71}{space 3}-.0331107
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-.5361423{col 30}{space 2} .2857436{col 41}{space 1}   -1.88{col 50}{space 3}0.061{col 58}{space 4} -1.09619{col 71}{space 3} .0239049
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} -1.35665{col 30}{space 2} .3264039{col 41}{space 1}   -4.16{col 50}{space 3}0.000{col 58}{space 4} -1.99639{col 71}{space 3}-.7169099
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .4118402{col 44} .2200955{col 58} .1444874{col 70} 1.173891
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .2413432{col 44} .1800292{col 58}  .055935{col 70} 1.041325
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}24.26{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit housef_pv90 h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj no_conference approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -70.67919}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-67.986729}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -67.92533}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -67.92533}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -65.94527}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-65.529487}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-65.492675}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-65.492282}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-65.492282}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}12{txt}){col 67}={col 70}{res}    12.33
{txt}Log likelihood = {res}-65.492282{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.4195

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     housef_pv90{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2} .1098243{col 30}{space 2} .9341334{col 41}{space 1}    0.12{col 50}{space 3}0.906{col 58}{space 4}-1.721043{col 71}{space 3} 1.940692
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2}-.2327137{col 30}{space 2} 1.106163{col 41}{space 1}   -0.21{col 50}{space 3}0.833{col 58}{space 4}-2.400754{col 71}{space 3} 1.935326
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2} 1.308774{col 30}{space 2} .6742629{col 41}{space 1}    1.94{col 50}{space 3}0.052{col 58}{space 4}-.0127571{col 71}{space 3} 2.630305
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2}  .859791{col 30}{space 2} .6653702{col 41}{space 1}    1.29{col 50}{space 3}0.196{col 58}{space 4}-.4443106{col 71}{space 3} 2.163893
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2}  .113554{col 30}{space 2} .6082491{col 41}{space 1}    0.19{col 50}{space 3}0.852{col 58}{space 4}-1.078592{col 71}{space 3}   1.3057
{txt}s_nocommhearings {c |}{col 18}{res}{space 2}  .361699{col 30}{space 2} .8631245{col 41}{space 1}    0.42{col 50}{space 3}0.675{col 58}{space 4}-1.329994{col 71}{space 3} 2.053392
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2} -.301722{col 30}{space 2} .9155326{col 41}{space 1}   -0.33{col 50}{space 3}0.742{col 58}{space 4}-2.096133{col 71}{space 3} 1.492689
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2}-.3681236{col 30}{space 2} .8819428{col 41}{space 1}   -0.42{col 50}{space 3}0.676{col 58}{space 4}  -2.0967{col 71}{space 3} 1.360452
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2} .0455834{col 30}{space 2} .6771614{col 41}{space 1}    0.07{col 50}{space 3}0.946{col 58}{space 4}-1.281629{col 71}{space 3} 1.372795
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2} 1.012924{col 30}{space 2} .6325027{col 41}{space 1}    1.60{col 50}{space 3}0.109{col 58}{space 4}-.2267584{col 71}{space 3} 2.252607
{txt}{space 3}no_conference {c |}{col 18}{res}{space 2}-.7239076{col 30}{space 2} .7621859{col 41}{space 1}   -0.95{col 50}{space 3}0.342{col 58}{space 4}-2.217764{col 71}{space 3} .7699492
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-.7727786{col 30}{space 2} .7497811{col 41}{space 1}   -1.03{col 50}{space 3}0.303{col 58}{space 4}-2.242323{col 71}{space 3} .6967653
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-5.977414{col 30}{space 2} 1.382525{col 41}{space 1}   -4.32{col 50}{space 3}0.000{col 58}{space 4}-8.687113{col 71}{space 3}-3.267714
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 4.312448{col 44} 4.219403{col 58} .6337057{col 70} 29.34675
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .6400318{col 44} .8645619{col 58} .0453304{col 70} 9.036783
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}16.15{col 59}{txt}Prob > chi2 ={col 73}{res}0.0003

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}h_nocommhe~s{res}       0.0642         -0.555         -0.456         0.0103         -0.428          0.110  {txt}
            {res} {ralign 12:{txt:(}0.0380{txt:)}}   {ralign 12:{txt:(}0.313{txt:)}}   {ralign 12:{txt:(}0.529{txt:)}}   {ralign 12:{txt:(}0.0344{txt:)}}   {ralign 12:{txt:(}0.389{txt:)}}   {ralign 12:{txt:(}0.934{txt:)}}  {txt}

{txt}h_nocommre~t{res}      0.00497          0.703*         0.618         0.0184          0.874*        -0.233  {txt}
            {res} {ralign 12:{txt:(}0.0446{txt:)}}   {ralign 12:{txt:(}0.356{txt:)}}   {ralign 12:{txt:(}0.556{txt:)}}   {ralign 12:{txt:(}0.0391{txt:)}}   {ralign 12:{txt:(}0.429{txt:)}}   {ralign 12:{txt:(}1.106{txt:)}}  {txt}

{txt}houserulec~d{res}       -0.215**        1.286**        0.709         -0.245**        1.575**        1.309  {txt}
            {res} {ralign 12:{txt:(}0.0388{txt:)}}   {ralign 12:{txt:(}0.295{txt:)}}   {ralign 12:{txt:(}0.434{txt:)}}   {ralign 12:{txt:(}0.0329{txt:)}}   {ralign 12:{txt:(}0.315{txt:)}}   {ralign 12:{txt:(}0.674{txt:)}}  {txt}

{txt}h_layover72 {res}       0.0395         -0.268          0.413       -0.00588         -0.133          0.860  {txt}
            {res} {ralign 12:{txt:(}0.0283{txt:)}}   {ralign 12:{txt:(}0.227{txt:)}}   {ralign 12:{txt:(}0.380{txt:)}}   {ralign 12:{txt:(}0.0237{txt:)}}   {ralign 12:{txt:(}0.254{txt:)}}   {ralign 12:{txt:(}0.665{txt:)}}  {txt}

{txt}h_postcomm~j{res}       -0.146**        0.799**        0.676*       -0.0411          0.180          0.114  {txt}
            {res} {ralign 12:{txt:(}0.0285{txt:)}}   {ralign 12:{txt:(}0.220{txt:)}}   {ralign 12:{txt:(}0.345{txt:)}}   {ralign 12:{txt:(}0.0243{txt:)}}   {ralign 12:{txt:(}0.255{txt:)}}   {ralign 12:{txt:(}0.608{txt:)}}  {txt}

{txt}approps     {res}       -0.108**        0.324          0.419         0.0420         -0.536         -0.773  {txt}
            {res} {ralign 12:{txt:(}0.0298{txt:)}}   {ralign 12:{txt:(}0.241{txt:)}}   {ralign 12:{txt:(}0.379{txt:)}}   {ralign 12:{txt:(}0.0266{txt:)}}   {ralign 12:{txt:(}0.286{txt:)}}   {ralign 12:{txt:(}0.750{txt:)}}  {txt}

{txt}s_nocommhe~s{res}                                                   -0.0436          0.356          0.362  {txt}
            {res}                                              {ralign 12:{txt:(}0.0331{txt:)}}   {ralign 12:{txt:(}0.358{txt:)}}   {ralign 12:{txt:(}0.863{txt:)}}  {txt}

{txt}s_nocommre~t{res}                                                    0.0381         -0.501         -0.302  {txt}
            {res}                                              {ralign 12:{txt:(}0.0332{txt:)}}   {ralign 12:{txt:(}0.372{txt:)}}   {ralign 12:{txt:(}0.916{txt:)}}  {txt}

{txt}s_filltree  {res}                                                   -0.0656          0.585         -0.368  {txt}
            {res}                                              {ralign 12:{txt:(}0.0435{txt:)}}   {ralign 12:{txt:(}0.420{txt:)}}   {ralign 12:{txt:(}0.882{txt:)}}  {txt}

{txt}s_cloturei~d{res}                                                   0.00525          0.194         0.0456  {txt}
            {res}                                              {ralign 12:{txt:(}0.0311{txt:)}}   {ralign 12:{txt:(}0.311{txt:)}}   {ralign 12:{txt:(}0.677{txt:)}}  {txt}

{txt}s_postcomm~j{res}                                                   -0.0323         0.0713          1.013  {txt}
            {res}                                              {ralign 12:{txt:(}0.0290{txt:)}}   {ralign 12:{txt:(}0.300{txt:)}}   {ralign 12:{txt:(}0.633{txt:)}}  {txt}

{txt}no_confere~e{res}                                                     0.123**       -0.635*        -0.724  {txt}
            {res}                                              {ralign 12:{txt:(}0.0285{txt:)}}   {ralign 12:{txt:(}0.307{txt:)}}   {ralign 12:{txt:(}0.762{txt:)}}  {txt}

{txt}_cons       {res}        0.771**       -1.345**       -3.492**        0.773**       -1.357**       -5.977**{txt}
            {res} {ralign 12:{txt:(}0.0361{txt:)}}   {ralign 12:{txt:(}0.262{txt:)}}   {ralign 12:{txt:(}0.383{txt:)}}   {ralign 12:{txt:(}0.0401{txt:)}}   {ralign 12:{txt:(}0.326{txt:)}}   {ralign 12:{txt:(}1.383{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.428**       -0.717*        -0.894         -2.177**       -0.444          0.731  {txt}
            {res} {ralign 12:{txt:(}0.236{txt:)}}   {ralign 12:{txt:(}0.293{txt:)}}   {ralign 12:{txt:(}0.745{txt:)}}   {ralign 12:{txt:(}0.207{txt:)}}   {ralign 12:{txt:(}0.267{txt:)}}   {ralign 12:{txt:(}0.489{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.683**       -0.609*        -0.631         -3.032**       -0.711         -0.223  {txt}
            {res} {ralign 12:{txt:(}0.293{txt:)}}   {ralign 12:{txt:(}0.310{txt:)}}   {ralign 12:{txt:(}0.499{txt:)}}   {ralign 12:{txt:(}0.321{txt:)}}   {ralign 12:{txt:(}0.373{txt:)}}   {ralign 12:{txt:(}0.675{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.214**                                     -1.405**                              {txt}
            {res} {ralign 12:{txt:(}0.0291{txt:)}}                                 {ralign 12:{txt:(}0.0291{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A4
. eststo: mixed senate1_percmin s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 61.653622}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 61.653622}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    33.70
{txt}Log likelihood = {res} 61.653622{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} senate1_percmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
s_nocommhearings {c |}{col 18}{res}{space 2} -.014392{col 30}{space 2} .0259376{col 41}{space 1}   -0.55{col 50}{space 3}0.579{col 58}{space 4}-.0652288{col 71}{space 3} .0364447
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2}-.0153435{col 30}{space 2} .0258838{col 41}{space 1}   -0.59{col 50}{space 3}0.553{col 58}{space 4}-.0660748{col 71}{space 3} .0353879
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2}-.0289873{col 30}{space 2} .0365814{col 41}{space 1}   -0.79{col 50}{space 3}0.428{col 58}{space 4}-.1006855{col 71}{space 3} .0427109
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2}-.1302397{col 30}{space 2} .0260632{col 41}{space 1}   -5.00{col 50}{space 3}0.000{col 58}{space 4}-.1813226{col 71}{space 3}-.0791567
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2}-.0011166{col 30}{space 2} .0244259{col 41}{space 1}   -0.05{col 50}{space 3}0.964{col 58}{space 4}-.0489905{col 71}{space 3} .0467573
{txt}{space 9}approps {c |}{col 18}{res}{space 2} -.006165{col 30}{space 2} .0219981{col 41}{space 1}   -0.28{col 50}{space 3}0.779{col 58}{space 4}-.0492805{col 71}{space 3} .0369506
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8891218{col 30}{space 2} .0311941{col 41}{space 1}   28.50{col 50}{space 3}0.000{col 58}{space 4} .8279824{col 71}{space 3} .9502611
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0074465{col 44} .0032682{col 58} .0031504{col 70} .0176011
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0039082{col 44} .0019652{col 58} .0014587{col 70} .0104711
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0441894{col 44} .0025772{col 58} .0394162{col 70} .0495407
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}74.18{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit senate1_pv50 s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -208.7631}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-207.05027}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-207.02536}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-207.02536}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-206.51332}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-206.49685}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-206.49681}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-206.49681}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    29.12
{txt}Log likelihood = {res}-206.49681{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    senate1_pv50{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
s_nocommhearings {c |}{col 18}{res}{space 2}  .146466{col 30}{space 2} .4048532{col 41}{space 1}    0.36{col 50}{space 3}0.718{col 58}{space 4}-.6470317{col 71}{space 3} .9399637
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2} .5950304{col 30}{space 2} .4050339{col 41}{space 1}    1.47{col 50}{space 3}0.142{col 58}{space 4}-.1988215{col 71}{space 3} 1.388882
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2} .2673059{col 30}{space 2}  .457861{col 41}{space 1}    0.58{col 50}{space 3}0.559{col 58}{space 4}-.6300851{col 71}{space 3} 1.164697
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2} 1.397364{col 30}{space 2} .3467649{col 41}{space 1}    4.03{col 50}{space 3}0.000{col 58}{space 4} .7177173{col 71}{space 3} 2.077011
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2} .0296652{col 30}{space 2} .3495039{col 41}{space 1}    0.08{col 50}{space 3}0.932{col 58}{space 4}-.6553498{col 71}{space 3} .7146803
{txt}{space 9}approps {c |}{col 18}{res}{space 2}  -.38476{col 30}{space 2} .3582049{col 41}{space 1}   -1.07{col 50}{space 3}0.283{col 58}{space 4}-1.086829{col 71}{space 3} .3173086
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.873733{col 30}{space 2} .4290561{col 41}{space 1}   -6.70{col 50}{space 3}0.000{col 58}{space 4}-3.714667{col 71}{space 3}-2.032798
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .6459155{col 44} .3804554{col 58} .2036119{col 70} 2.049029
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8353932{col 44} .5049967{col 58}  .255469{col 70} 2.731768
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}30.06{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit senate1_pv90 s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-53.567952}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-51.441542}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -51.16404}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -51.16404}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-49.770692}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -49.67769}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-49.676815}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-49.676815}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}     5.46
{txt}Log likelihood = {res}-49.676815{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.4868

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    senate1_pv90{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
s_nocommhearings {c |}{col 18}{res}{space 2} 1.414396{col 30}{space 2} .9596118{col 41}{space 1}    1.47{col 50}{space 3}0.141{col 58}{space 4}-.4664084{col 71}{space 3} 3.295201
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2}-.3275022{col 30}{space 2} .9041368{col 41}{space 1}   -0.36{col 50}{space 3}0.717{col 58}{space 4}-2.099578{col 71}{space 3} 1.444573
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2} .1054715{col 30}{space 2} .9368181{col 41}{space 1}    0.11{col 50}{space 3}0.910{col 58}{space 4}-1.730658{col 71}{space 3} 1.941601
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2} 1.046776{col 30}{space 2} .7575467{col 41}{space 1}    1.38{col 50}{space 3}0.167{col 58}{space 4}-.4379882{col 71}{space 3}  2.53154
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2} .1367357{col 30}{space 2} .7002073{col 41}{space 1}    0.20{col 50}{space 3}0.845{col 58}{space 4}-1.235645{col 71}{space 3} 1.509117
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-.7531825{col 30}{space 2} .9705753{col 41}{space 1}   -0.78{col 50}{space 3}0.438{col 58}{space 4}-2.655475{col 71}{space 3}  1.14911
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-6.547447{col 30}{space 2} 1.347042{col 41}{space 1}   -4.86{col 50}{space 3}0.000{col 58}{space 4}  -9.1876{col 71}{space 3}-3.907294
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 3.063736{col 44} 2.946412{col 58} .4652065{col 70} 20.17701
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.010003{col 44} 1.811817{col 58} .3434973{col 70} 11.76169
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}17.04{col 59}{txt}Prob > chi2 ={col 73}{res}0.0002

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed senatef_percmin h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj no_conference approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 85.160257}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 85.160263}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}12{txt}){col 67}={col 70}{res}    52.81
{txt}Log likelihood = {res} 85.160263{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} senatef_percmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2}  .043167{col 30}{space 2} .0284345{col 41}{space 1}    1.52{col 50}{space 3}0.129{col 58}{space 4}-.0125635{col 71}{space 3} .0988976
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2}-.0611994{col 30}{space 2}  .032398{col 41}{space 1}   -1.89{col 50}{space 3}0.059{col 58}{space 4}-.1246983{col 71}{space 3} .0022994
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2}-.0909072{col 30}{space 2} .0272625{col 41}{space 1}   -3.33{col 50}{space 3}0.001{col 58}{space 4}-.1443408{col 71}{space 3}-.0374737
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2} .0116525{col 30}{space 2} .0196204{col 41}{space 1}    0.59{col 50}{space 3}0.553{col 58}{space 4}-.0268028{col 71}{space 3} .0501078
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2}-.0393038{col 30}{space 2} .0201088{col 41}{space 1}   -1.95{col 50}{space 3}0.051{col 58}{space 4}-.0787163{col 71}{space 3} .0001086
{txt}s_nocommhearings {c |}{col 18}{res}{space 2}-.0002091{col 30}{space 2} .0273754{col 41}{space 1}   -0.01{col 50}{space 3}0.994{col 58}{space 4}-.0538638{col 71}{space 3} .0534457
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2}-.0278704{col 30}{space 2} .0274832{col 41}{space 1}   -1.01{col 50}{space 3}0.311{col 58}{space 4}-.0817364{col 71}{space 3} .0259956
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2}-.0395521{col 30}{space 2} .0359868{col 41}{space 1}   -1.10{col 50}{space 3}0.272{col 58}{space 4}-.1100849{col 71}{space 3} .0309807
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2}-.0673137{col 30}{space 2} .0257004{col 41}{space 1}   -2.62{col 50}{space 3}0.009{col 58}{space 4}-.1176855{col 71}{space 3} -.016942
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2} .0194271{col 30}{space 2} .0239822{col 41}{space 1}    0.81{col 50}{space 3}0.418{col 58}{space 4} -.027577{col 71}{space 3} .0664313
{txt}{space 3}no_conference {c |}{col 18}{res}{space 2} .0646186{col 30}{space 2} .0235835{col 41}{space 1}    2.74{col 50}{space 3}0.006{col 58}{space 4} .0183958{col 71}{space 3} .1108414
{txt}{space 9}approps {c |}{col 18}{res}{space 2} .0167624{col 30}{space 2} .0221716{col 41}{space 1}    0.76{col 50}{space 3}0.450{col 58}{space 4}-.0266932{col 71}{space 3} .0602181
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}  .860291{col 30}{space 2} .0341094{col 41}{space 1}   25.22{col 50}{space 3}0.000{col 58}{space 4} .7934377{col 71}{space 3} .9271442
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0093304{col 44} .0039462{col 58} .0040728{col 70} .0213753
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0020304{col 44} .0013022{col 58} .0005776{col 70} .0071366
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0411183{col 44} .0024008{col 58} .0366722{col 70} .0461036
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}74.39{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj no_conference approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-194.31387}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-191.55516}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -191.5449}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -191.5449}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-190.67379}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-190.62941}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-190.62933}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-190.62933}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}12{txt}){col 67}={col 70}{res}    34.54
{txt}Log likelihood = {res}-190.62933{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0006

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    senatef_pv50{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2}-.4597744{col 30}{space 2} .5343476{col 41}{space 1}   -0.86{col 50}{space 3}0.390{col 58}{space 4}-1.507076{col 71}{space 3} .5875277
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2} 1.049649{col 30}{space 2} .5758422{col 41}{space 1}    1.82{col 50}{space 3}0.068{col 58}{space 4}-.0789807{col 71}{space 3} 2.178279
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2} 1.389732{col 30}{space 2} .3827155{col 41}{space 1}    3.63{col 50}{space 3}0.000{col 58}{space 4} .6396232{col 71}{space 3} 2.139841
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2}-.3440442{col 30}{space 2} .3437749{col 41}{space 1}   -1.00{col 50}{space 3}0.317{col 58}{space 4}-1.017831{col 71}{space 3} .3297423
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2} .1274244{col 30}{space 2} .3318565{col 41}{space 1}    0.38{col 50}{space 3}0.701{col 58}{space 4}-.5230024{col 71}{space 3} .7778512
{txt}s_nocommhearings {c |}{col 18}{res}{space 2}-.3293319{col 30}{space 2} .4941705{col 41}{space 1}   -0.67{col 50}{space 3}0.505{col 58}{space 4}-1.297888{col 71}{space 3} .6392244
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2} .5638092{col 30}{space 2} .5012612{col 41}{space 1}    1.12{col 50}{space 3}0.261{col 58}{space 4}-.4186447{col 71}{space 3} 1.546263
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2} .0465043{col 30}{space 2} .5206334{col 41}{space 1}    0.09{col 50}{space 3}0.929{col 58}{space 4}-.9739184{col 71}{space 3} 1.066927
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2} .7690415{col 30}{space 2} .3832049{col 41}{space 1}    2.01{col 50}{space 3}0.045{col 58}{space 4} .0179737{col 71}{space 3} 1.520109
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2}-.0722577{col 30}{space 2} .3816945{col 41}{space 1}   -0.19{col 50}{space 3}0.850{col 58}{space 4}-.8203651{col 71}{space 3} .6758497
{txt}{space 3}no_conference {c |}{col 18}{res}{space 2}-.4839022{col 30}{space 2} .4082699{col 41}{space 1}   -1.19{col 50}{space 3}0.236{col 58}{space 4}-1.284097{col 71}{space 3} .3162921
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-.4296018{col 30}{space 2} .3814664{col 41}{space 1}   -1.13{col 50}{space 3}0.260{col 58}{space 4}-1.177262{col 71}{space 3} .3180587
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.730163{col 30}{space 2} .5033024{col 41}{space 1}   -5.42{col 50}{space 3}0.000{col 58}{space 4}-3.716617{col 71}{space 3}-1.743708
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 1.109458{col 44} .6630978{col 58} .3438483{col 70} 3.579766
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .6462248{col 44} .4989556{col 58} .1422865{col 70} 2.934969
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}26.45{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit senatef_pv90 h_nocommhearings h_nocommreport houseruleclosed h_layover72 h_postcommadj s_nocommhearings s_nocommreport s_filltree s_clotureinvoked s_postcommadj no_conference approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-45.764964}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-42.905472}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -42.80966}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -42.80966}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -39.58887}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-38.979854}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -38.92953}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-38.927911}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-38.927904}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res:-38.927904}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}12{txt}){col 67}={col 70}{res}     7.37
{txt}Log likelihood = {res}-38.927904{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.8319

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    senatef_pv90{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
h_nocommhearings {c |}{col 18}{res}{space 2} .9331655{col 30}{space 2} 1.471484{col 41}{space 1}    0.63{col 50}{space 3}0.526{col 58}{space 4} -1.95089{col 71}{space 3} 3.817221
{txt}{space 2}h_nocommreport {c |}{col 18}{res}{space 2} .5772367{col 30}{space 2} 1.820849{col 41}{space 1}    0.32{col 50}{space 3}0.751{col 58}{space 4}-2.991561{col 71}{space 3} 4.146034
{txt}{space 1}houseruleclosed {c |}{col 18}{res}{space 2} .8723408{col 30}{space 2} 1.104742{col 41}{space 1}    0.79{col 50}{space 3}0.430{col 58}{space 4}-1.292914{col 71}{space 3} 3.037595
{txt}{space 5}h_layover72 {c |}{col 18}{res}{space 2}-1.148633{col 30}{space 2} 1.153996{col 41}{space 1}   -1.00{col 50}{space 3}0.320{col 58}{space 4}-3.410425{col 71}{space 3} 1.113158
{txt}{space 3}h_postcommadj {c |}{col 18}{res}{space 2}-.4843622{col 30}{space 2} .9174778{col 41}{space 1}   -0.53{col 50}{space 3}0.598{col 58}{space 4}-2.282586{col 71}{space 3} 1.313861
{txt}s_nocommhearings {c |}{col 18}{res}{space 2}  1.13485{col 30}{space 2} 1.353488{col 41}{space 1}    0.84{col 50}{space 3}0.402{col 58}{space 4}-1.517938{col 71}{space 3} 3.787639
{txt}{space 2}s_nocommreport {c |}{col 18}{res}{space 2}-.2251266{col 30}{space 2} 1.510765{col 41}{space 1}   -0.15{col 50}{space 3}0.882{col 58}{space 4}-3.186171{col 71}{space 3} 2.735917
{txt}{space 6}s_filltree {c |}{col 18}{res}{space 2}-.2273875{col 30}{space 2} 1.309784{col 41}{space 1}   -0.17{col 50}{space 3}0.862{col 58}{space 4}-2.794516{col 71}{space 3} 2.339741
{txt}s_clotureinvoked {c |}{col 18}{res}{space 2} .9838772{col 30}{space 2} .9843121{col 41}{space 1}    1.00{col 50}{space 3}0.318{col 58}{space 4}-.9453391{col 71}{space 3} 2.913094
{txt}{space 3}s_postcommadj {c |}{col 18}{res}{space 2} .4920382{col 30}{space 2} .9287515{col 41}{space 1}    0.53{col 50}{space 3}0.596{col 58}{space 4}-1.328281{col 71}{space 3} 2.312358
{txt}{space 3}no_conference {c |}{col 18}{res}{space 2}-2.698793{col 30}{space 2} 1.385005{col 41}{space 1}   -1.95{col 50}{space 3}0.051{col 58}{space 4}-5.413352{col 71}{space 3} .0157663
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-2.230125{col 30}{space 2} 1.493809{col 41}{space 1}   -1.49{col 50}{space 3}0.135{col 58}{space 4}-5.157937{col 71}{space 3} .6976876
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-7.862039{col 30}{space 2} 2.955315{col 41}{space 1}   -2.66{col 50}{space 3}0.008{col 58}{space 4}-13.65435{col 71}{space 3}-2.069728
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  12.8894{col 44} 18.20843{col 58} .8086652{col 70} 205.4456
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 4.163772{col 44} 4.156865{col 58} .5884335{col 70} 29.46297
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}21.27{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}s_nocommhe~s{res}      -0.0144          0.146          1.414      -0.000209         -0.329          1.135  {txt}
            {res} {ralign 12:{txt:(}0.0259{txt:)}}   {ralign 12:{txt:(}0.405{txt:)}}   {ralign 12:{txt:(}0.960{txt:)}}   {ralign 12:{txt:(}0.0274{txt:)}}   {ralign 12:{txt:(}0.494{txt:)}}   {ralign 12:{txt:(}1.353{txt:)}}  {txt}

{txt}s_nocommre~t{res}      -0.0153          0.595         -0.328        -0.0279          0.564         -0.225  {txt}
            {res} {ralign 12:{txt:(}0.0259{txt:)}}   {ralign 12:{txt:(}0.405{txt:)}}   {ralign 12:{txt:(}0.904{txt:)}}   {ralign 12:{txt:(}0.0275{txt:)}}   {ralign 12:{txt:(}0.501{txt:)}}   {ralign 12:{txt:(}1.511{txt:)}}  {txt}

{txt}s_filltree  {res}      -0.0290          0.267          0.105        -0.0396         0.0465         -0.227  {txt}
            {res} {ralign 12:{txt:(}0.0366{txt:)}}   {ralign 12:{txt:(}0.458{txt:)}}   {ralign 12:{txt:(}0.937{txt:)}}   {ralign 12:{txt:(}0.0360{txt:)}}   {ralign 12:{txt:(}0.521{txt:)}}   {ralign 12:{txt:(}1.310{txt:)}}  {txt}

{txt}s_cloturei~d{res}       -0.130**        1.397**        1.047        -0.0673**        0.769*         0.984  {txt}
            {res} {ralign 12:{txt:(}0.0261{txt:)}}   {ralign 12:{txt:(}0.347{txt:)}}   {ralign 12:{txt:(}0.758{txt:)}}   {ralign 12:{txt:(}0.0257{txt:)}}   {ralign 12:{txt:(}0.383{txt:)}}   {ralign 12:{txt:(}0.984{txt:)}}  {txt}

{txt}s_postcomm~j{res}     -0.00112         0.0297          0.137         0.0194        -0.0723          0.492  {txt}
            {res} {ralign 12:{txt:(}0.0244{txt:)}}   {ralign 12:{txt:(}0.350{txt:)}}   {ralign 12:{txt:(}0.700{txt:)}}   {ralign 12:{txt:(}0.0240{txt:)}}   {ralign 12:{txt:(}0.382{txt:)}}   {ralign 12:{txt:(}0.929{txt:)}}  {txt}

{txt}approps     {res}     -0.00616         -0.385         -0.753         0.0168         -0.430         -2.230  {txt}
            {res} {ralign 12:{txt:(}0.0220{txt:)}}   {ralign 12:{txt:(}0.358{txt:)}}   {ralign 12:{txt:(}0.971{txt:)}}   {ralign 12:{txt:(}0.0222{txt:)}}   {ralign 12:{txt:(}0.381{txt:)}}   {ralign 12:{txt:(}1.494{txt:)}}  {txt}

{txt}h_nocommhe~s{res}                                                    0.0432         -0.460          0.933  {txt}
            {res}                                              {ralign 12:{txt:(}0.0284{txt:)}}   {ralign 12:{txt:(}0.534{txt:)}}   {ralign 12:{txt:(}1.471{txt:)}}  {txt}

{txt}h_nocommre~t{res}                                                   -0.0612          1.050          0.577  {txt}
            {res}                                              {ralign 12:{txt:(}0.0324{txt:)}}   {ralign 12:{txt:(}0.576{txt:)}}   {ralign 12:{txt:(}1.821{txt:)}}  {txt}

{txt}houserulec~d{res}                                                   -0.0909**        1.390**        0.872  {txt}
            {res}                                              {ralign 12:{txt:(}0.0273{txt:)}}   {ralign 12:{txt:(}0.383{txt:)}}   {ralign 12:{txt:(}1.105{txt:)}}  {txt}

{txt}h_layover72 {res}                                                    0.0117         -0.344         -1.149  {txt}
            {res}                                              {ralign 12:{txt:(}0.0196{txt:)}}   {ralign 12:{txt:(}0.344{txt:)}}   {ralign 12:{txt:(}1.154{txt:)}}  {txt}

{txt}h_postcomm~j{res}                                                   -0.0393          0.127         -0.484  {txt}
            {res}                                              {ralign 12:{txt:(}0.0201{txt:)}}   {ralign 12:{txt:(}0.332{txt:)}}   {ralign 12:{txt:(}0.917{txt:)}}  {txt}

{txt}no_confere~e{res}                                                    0.0646**       -0.484         -2.699  {txt}
            {res}                                              {ralign 12:{txt:(}0.0236{txt:)}}   {ralign 12:{txt:(}0.408{txt:)}}   {ralign 12:{txt:(}1.385{txt:)}}  {txt}

{txt}_cons       {res}        0.889**       -2.874**       -6.547**        0.860**       -2.730**       -7.862**{txt}
            {res} {ralign 12:{txt:(}0.0312{txt:)}}   {ralign 12:{txt:(}0.429{txt:)}}   {ralign 12:{txt:(}1.347{txt:)}}   {ralign 12:{txt:(}0.0341{txt:)}}   {ralign 12:{txt:(}0.503{txt:)}}   {ralign 12:{txt:(}2.955{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.450**       -0.219          0.560         -2.337**       0.0519          1.278  {txt}
            {res} {ralign 12:{txt:(}0.219{txt:)}}   {ralign 12:{txt:(}0.295{txt:)}}   {ralign 12:{txt:(}0.481{txt:)}}   {ralign 12:{txt:(}0.211{txt:)}}   {ralign 12:{txt:(}0.299{txt:)}}   {ralign 12:{txt:(}0.706{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.772**      -0.0899          0.349         -3.100**       -0.218          0.713  {txt}
            {res} {ralign 12:{txt:(}0.251{txt:)}}   {ralign 12:{txt:(}0.302{txt:)}}   {ralign 12:{txt:(}0.451{txt:)}}   {ralign 12:{txt:(}0.321{txt:)}}   {ralign 12:{txt:(}0.386{txt:)}}   {ralign 12:{txt:(}0.499{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.560**                                     -1.596**                              {txt}
            {res} {ralign 12:{txt:(}0.0292{txt:)}}                                 {ralign 12:{txt:(}0.0292{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A5
. eststo: mixed housef_percmin irt_billdev_1pl irt_billman_1pl approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-66.104347}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-66.104347}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    19.26
{txt}Log likelihood = {res}-66.104347{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0002

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} housef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
irt_billdev_1pl {c |}{col 17}{res}{space 2} .0392939{col 29}{space 2} .0159681{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4}  .007997{col 70}{space 3} .0705909
{txt}irt_billman_1pl {c |}{col 17}{res}{space 2}-.0816516{col 29}{space 2} .0194565{col 40}{space 1}   -4.20{col 49}{space 3}0.000{col 57}{space 4}-.1197857{col 70}{space 3}-.0435176
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0034163{col 29}{space 2}  .027013{col 40}{space 1}   -0.13{col 49}{space 3}0.899{col 57}{space 4}-.0563608{col 70}{space 3} .0495281
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .7892489{col 29}{space 2}    .0384{col 40}{space 1}   20.55{col 49}{space 3}0.000{col 57}{space 4} .7139864{col 70}{space 3} .8645115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0149084{col 44} .0061099{col 58}  .006677{col 70} .0332875
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0047298{col 44} .0025377{col 58} .0016525{col 70} .0135376
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0665514{col 44} .0038781{col 58} .0593684{col 70} .0746035
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}93.67{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit housef_pv50 irt_billdev_1pl irt_billman_1pl approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-311.38006}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-308.11106}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.96249}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-307.96249}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-307.45179}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-307.22881}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -307.2284}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res: -307.2284}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    15.60
{txt}Log likelihood = {res} -307.2284{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0014

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    housef_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
irt_billdev_1pl {c |}{col 17}{res}{space 2}-.0719088{col 29}{space 2} .1497938{col 40}{space 1}   -0.48{col 49}{space 3}0.631{col 57}{space 4}-.3654992{col 70}{space 3} .2216815
{txt}irt_billman_1pl {c |}{col 17}{res}{space 2} .6248455{col 29}{space 2} .1801173{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4} .2718222{col 70}{space 3} .9778688
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.2229892{col 29}{space 2} .2696745{col 40}{space 1}   -0.83{col 49}{space 3}0.408{col 57}{space 4}-.7515416{col 70}{space 3} .3055632
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.387743{col 29}{space 2} .2692704{col 40}{space 1}   -5.15{col 49}{space 3}0.000{col 57}{space 4}-1.915503{col 70}{space 3}-.8599825
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .4294321{col 44} .2202635{col 58}  .157144{col 70} 1.173522
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3426486{col 44} .2125804{col 58} .1015689{col 70} 1.155945
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}31.57{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit housef_pv90 irt_billdev_1pl irt_billman_1pl approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-74.283581}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-71.665676}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -71.34869}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -71.34869}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -69.42122}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-68.916181}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-68.889386}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-68.889008}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-68.889007}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     5.79
{txt}Log likelihood = {res}-68.889007{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1225

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    housef_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
irt_billdev_1pl {c |}{col 17}{res}{space 2}-.0933635{col 29}{space 2} .3247993{col 40}{space 1}   -0.29{col 49}{space 3}0.774{col 57}{space 4}-.7299585{col 70}{space 3} .5432314
{txt}irt_billman_1pl {c |}{col 17}{res}{space 2} .8017662{col 29}{space 2} .3887511{col 40}{space 1}    2.06{col 49}{space 3}0.039{col 57}{space 4}  .039828{col 70}{space 3} 1.563704
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.6409243{col 29}{space 2} .6941794{col 40}{space 1}   -0.92{col 49}{space 3}0.356{col 57}{space 4}-2.001491{col 70}{space 3} .7196423
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.653582{col 29}{space 2} 1.374904{col 40}{space 1}   -4.11{col 49}{space 3}0.000{col 57}{space 4}-8.348344{col 70}{space 3}-2.958821
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 5.131329{col 44} 5.025191{col 58} .7527223{col 70} 34.98041
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8657355{col 44} .9044086{col 58} .1117274{col 70} 6.708272
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}19.76{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed senatef_percmin irt_billdev_1pl irt_billman_1pl approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 66.279188}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 66.279189}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    12.59
{txt}Log likelihood = {res} 66.279189{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0056

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
irt_billdev_1pl {c |}{col 17}{res}{space 2}  .006223{col 29}{space 2} .0129054{col 40}{space 1}    0.48{col 49}{space 3}0.630{col 57}{space 4} -.019071{col 70}{space 3}  .031517
{txt}irt_billman_1pl {c |}{col 17}{res}{space 2}-.0541627{col 29}{space 2} .0157293{col 40}{space 1}   -3.44{col 49}{space 3}0.001{col 57}{space 4}-.0849915{col 70}{space 3}-.0233338
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0102248{col 29}{space 2} .0217489{col 40}{space 1}   -0.47{col 49}{space 3}0.638{col 57}{space 4}-.0528518{col 70}{space 3} .0324023
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8609735{col 29}{space 2}  .030829{col 40}{space 1}   27.93{col 49}{space 3}0.000{col 57}{space 4} .8005499{col 70}{space 3} .9213972
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  .009865{col 44} .0041393{col 58} .0043345{col 70} .0224522
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0027027{col 44} .0016067{col 58} .0008429{col 70}  .008666
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0435399{col 44} .0025427{col 58}  .038831{col 70} .0488199
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}79.38{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 irt_billdev_1pl irt_billman_1pl approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-204.40169}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-202.80746}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-202.80746}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-202.80746}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-202.08732}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-202.04398}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-202.04393}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-202.04393}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    14.40
{txt}Log likelihood = {res}-202.04393{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0024

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   senatef_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
irt_billdev_1pl {c |}{col 17}{res}{space 2} .1608312{col 29}{space 2} .1843766{col 40}{space 1}    0.87{col 49}{space 3}0.383{col 57}{space 4}-.2005402{col 70}{space 3} .5222027
{txt}irt_billman_1pl {c |}{col 17}{res}{space 2} .6704849{col 29}{space 2} .2217265{col 40}{space 1}    3.02{col 49}{space 3}0.002{col 57}{space 4}  .235909{col 70}{space 3} 1.105061
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.1927052{col 29}{space 2} .3532619{col 40}{space 1}   -0.55{col 49}{space 3}0.585{col 57}{space 4}-.8850859{col 70}{space 3} .4996755
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.555923{col 29}{space 2} .4118303{col 40}{space 1}   -6.21{col 49}{space 3}0.000{col 57}{space 4}-3.363095{col 70}{space 3} -1.74875
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .9324376{col 44} .5500015{col 58}  .293451{col 70} 2.962811
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .6604481{col 44} .4866337{col 58} .1558308{col 70} 2.799136
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}26.79{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit senatef_pv90 irt_billdev_1pl irt_billman_1pl approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-49.824515}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-47.017979}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-46.420684}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-46.420684}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-43.611058}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-42.904104}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-42.857146}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-42.855689}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-42.855685}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     2.15
{txt}Log likelihood = {res}-42.855685{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.5426

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   senatef_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
irt_billdev_1pl {c |}{col 17}{res}{space 2} .3514877{col 29}{space 2} .4288721{col 40}{space 1}    0.82{col 49}{space 3}0.412{col 57}{space 4}-.4890862{col 70}{space 3} 1.192062
{txt}irt_billman_1pl {c |}{col 17}{res}{space 2}-.0716393{col 29}{space 2} .5722023{col 40}{space 1}   -0.13{col 49}{space 3}0.900{col 57}{space 4}-1.193135{col 70}{space 3} 1.049857
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-1.410305{col 29}{space 2} 1.218283{col 40}{space 1}   -1.16{col 49}{space 3}0.247{col 57}{space 4}-3.798096{col 70}{space 3} .9774861
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-7.901346{col 29}{space 2} 2.609251{col 40}{space 1}   -3.03{col 49}{space 3}0.002{col 57}{space 4}-13.01539{col 70}{space 3}-2.787308
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 11.42856{col 44} 14.81024{col 58} .9014106{col 70} 144.8974
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.564531{col 44} 3.148749{col 58} .6310863{col 70} 20.13335
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}25.67{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             housef_per~n    housef_pv50    housef_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}irt_billde~l{res}       0.0393*       -0.0719        -0.0934        0.00622          0.161          0.351  {txt}
            {res} {ralign 12:{txt:(}0.0160{txt:)}}   {ralign 12:{txt:(}0.150{txt:)}}   {ralign 12:{txt:(}0.325{txt:)}}   {ralign 12:{txt:(}0.0129{txt:)}}   {ralign 12:{txt:(}0.184{txt:)}}   {ralign 12:{txt:(}0.429{txt:)}}  {txt}

{txt}irt_billma~l{res}      -0.0817**        0.625**        0.802*       -0.0542**        0.670**      -0.0716  {txt}
            {res} {ralign 12:{txt:(}0.0195{txt:)}}   {ralign 12:{txt:(}0.180{txt:)}}   {ralign 12:{txt:(}0.389{txt:)}}   {ralign 12:{txt:(}0.0157{txt:)}}   {ralign 12:{txt:(}0.222{txt:)}}   {ralign 12:{txt:(}0.572{txt:)}}  {txt}

{txt}approps     {res}     -0.00342         -0.223         -0.641        -0.0102         -0.193         -1.410  {txt}
            {res} {ralign 12:{txt:(}0.0270{txt:)}}   {ralign 12:{txt:(}0.270{txt:)}}   {ralign 12:{txt:(}0.694{txt:)}}   {ralign 12:{txt:(}0.0217{txt:)}}   {ralign 12:{txt:(}0.353{txt:)}}   {ralign 12:{txt:(}1.218{txt:)}}  {txt}

{txt}_cons       {res}        0.789**       -1.388**       -5.654**        0.861**       -2.556**       -7.901**{txt}
            {res} {ralign 12:{txt:(}0.0384{txt:)}}   {ralign 12:{txt:(}0.269{txt:)}}   {ralign 12:{txt:(}1.375{txt:)}}   {ralign 12:{txt:(}0.0308{txt:)}}   {ralign 12:{txt:(}0.412{txt:)}}   {ralign 12:{txt:(}2.609{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.103**       -0.423          0.818         -2.309**      -0.0350          1.218  {txt}
            {res} {ralign 12:{txt:(}0.205{txt:)}}   {ralign 12:{txt:(}0.256{txt:)}}   {ralign 12:{txt:(}0.490{txt:)}}   {ralign 12:{txt:(}0.210{txt:)}}   {ralign 12:{txt:(}0.295{txt:)}}   {ralign 12:{txt:(}0.648{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.677**       -0.536        -0.0721         -2.957**       -0.207          0.636  {txt}
            {res} {ralign 12:{txt:(}0.268{txt:)}}   {ralign 12:{txt:(}0.310{txt:)}}   {ralign 12:{txt:(}0.522{txt:)}}   {ralign 12:{txt:(}0.297{txt:)}}   {ralign 12:{txt:(}0.368{txt:)}}   {ralign 12:{txt:(}0.442{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.355**                                     -1.567**                              {txt}
            {res} {ralign 12:{txt:(}0.0291{txt:)}}                                 {ralign 12:{txt:(}0.0292{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A6
. eststo: mixed housef_percmin allcomm_index allfloor_index approps || _all: R.cong || major: if cong<107
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 8.6258711}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:  8.626982}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: 8.6269821}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       326

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      326{col 42}    326.0{col 53}      326
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        3{col 42}     17.2{col 53}       94
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     5.98
{txt}Log likelihood = {res} 8.6269821{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1127

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0378368{col 28}{space 2} .0597985{col 39}{space 1}    0.63{col 48}{space 3}0.527{col 56}{space 4}-.0793661{col 69}{space 3} .1550397
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.1949914{col 28}{space 2} .1152921{col 39}{space 1}   -1.69{col 48}{space 3}0.091{col 56}{space 4}-.4209598{col 69}{space 3}  .030977
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0677789{col 28}{space 2} .0306789{col 39}{space 1}   -2.21{col 48}{space 3}0.027{col 56}{space 4}-.1279085{col 69}{space 3}-.0076493
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8833975{col 28}{space 2} .0368822{col 39}{space 1}   23.95{col 48}{space 3}0.000{col 56}{space 4} .8111098{col 69}{space 3} .9556853
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0036323{col 44} .0025574{col 58} .0009138{col 70} .0144374
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0015543{col 44}    .0013{col 58} .0003017{col 70} .0080068
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0528402{col 44} .0042327{col 58} .0451627{col 70}  .061823
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17.68{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: mixed housef_percmin allcomm_index allfloor_index approps || _all: R.cong || major: if cong>106
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-60.358669}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-60.358632}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-60.358632}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       295

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      295{col 42}    295.0{col 53}      295
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        1{col 42}     15.5{col 53}       63
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.29
{txt}Log likelihood = {res}-60.358632{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .1041194{col 28}{space 2} .0461987{col 39}{space 1}    2.25{col 48}{space 3}0.024{col 56}{space 4} .0135717{col 69}{space 3} .1946671
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.3415057{col 28}{space 2} .0843558{col 39}{space 1}   -4.05{col 48}{space 3}0.000{col 56}{space 4}  -.50684{col 69}{space 3}-.1761714
{txt}{space 7}approps {c |}{col 16}{res}{space 2} .0705698{col 28}{space 2} .0430911{col 39}{space 1}    1.64{col 48}{space 3}0.101{col 56}{space 4}-.0138871{col 69}{space 3} .1550267
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8019444{col 28}{space 2} .0713788{col 39}{space 1}   11.24{col 48}{space 3}0.000{col 56}{space 4} .6620446{col 69}{space 3} .9418442
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0258462{col 44} .0141042{col 58} .0088695{col 70} .0753172
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0056617{col 44} .0038609{col 58} .0014876{col 70} .0215483
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0792408{col 44}  .006782{col 58} .0670034{col 70} .0937132
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}59.98{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit housef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major: if cong<107

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-143.96174}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-142.00809}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-140.48011}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-140.48011}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-139.49576}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-139.48581}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-139.48579}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-139.48579}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       326

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      326{col 42}    326.0{col 53}      326{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        3{col 42}     17.2{col 53}       94{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     2.44
{txt}Log likelihood = {res}-139.48579{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.4865

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} -.418646{col 28}{space 2} .7191246{col 39}{space 1}   -0.58{col 48}{space 3}0.560{col 56}{space 4}-1.828104{col 69}{space 3} .9908123
{txt}allfloor_index {c |}{col 16}{res}{space 2} 1.864808{col 28}{space 2} 1.320357{col 39}{space 1}    1.41{col 48}{space 3}0.158{col 56}{space 4}-.7230445{col 69}{space 3}  4.45266
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0833026{col 28}{space 2} .3828163{col 39}{space 1}   -0.22{col 48}{space 3}0.828{col 56}{space 4}-.8336087{col 69}{space 3} .6670035
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-2.143745{col 28}{space 2} .4182592{col 39}{space 1}   -5.13{col 48}{space 3}0.000{col 56}{space 4}-2.963518{col 69}{space 3}-1.323973
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .2702549{col 44} .2251739{col 58} .0527911{col 70} 1.383524
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .1674509{col 44} .1847341{col 58} .0192677{col 70} 1.455273
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}8.89{col 59}{txt}Prob > chi2 ={col 73}{res}0.0117

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: meqrlogit housef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major: if cong>106

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-167.55903}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-166.69704}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-166.46679}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-166.46679}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-166.29263}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-166.28375}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-166.28374}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       295

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      295{col 42}    295.0{col 53}      295{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        1{col 42}     15.5{col 53}       63{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    11.58
{txt}Log likelihood = {res}-166.28374{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0090

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.0396816{col 28}{space 2} .3829923{col 39}{space 1}   -0.10{col 48}{space 3}0.917{col 56}{space 4}-.7903327{col 69}{space 3} .7109695
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.165223{col 28}{space 2} .6985528{col 39}{space 1}    3.10{col 48}{space 3}0.002{col 56}{space 4} .7960848{col 69}{space 3} 3.534362
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2954105{col 28}{space 2} .3759782{col 39}{space 1}   -0.79{col 48}{space 3}0.432{col 56}{space 4}-1.032314{col 69}{space 3} .4414932
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.542324{col 28}{space 2}  .446066{col 39}{space 1}   -3.46{col 48}{space 3}0.001{col 56}{space 4}-2.416597{col 69}{space 3}-.6680506
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .4957453{col 44}  .336345{col 58} .1311443{col 70} 1.873992
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .4398901{col 44} .3017341{col 58} .1146777{col 70} 1.687366
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}17.99{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est4{txt} stored)

{com}. ** - NO 90% Party Votes pre-2000 -- eststo: meqrlogit housef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major: if cong<107
. eststo: meqrlogit housef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major: if cong>106

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-67.155941}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.776704}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-65.672078}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-65.672078}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.096221}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-65.044966}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-65.044801}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-65.044801}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       295

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      295{col 42}    295.0{col 53}      295{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        1{col 42}     15.5{col 53}       63{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     4.24
{txt}Log likelihood = {res}-65.044801{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2365

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.4482491{col 28}{space 2}  .686145{col 39}{space 1}   -0.65{col 48}{space 3}0.514{col 56}{space 4}-1.793069{col 69}{space 3} .8965703
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.084658{col 28}{space 2} 1.155751{col 39}{space 1}    1.80{col 48}{space 3}0.071{col 56}{space 4}-.1805729{col 69}{space 3} 4.349888
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.5620567{col 28}{space 2} .6896331{col 39}{space 1}   -0.82{col 48}{space 3}0.415{col 56}{space 4}-1.913713{col 69}{space 3} .7895993
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-4.170518{col 28}{space 2}  .926301{col 39}{space 1}   -4.50{col 48}{space 3}0.000{col 56}{space 4}-5.986035{col 69}{space 3}-2.355002
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 1.839747{col 44} 1.676436{col 58} .3084011{col 70} 10.97489
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .801045{col 44}  .836378{col 58} .1034928{col 70} 6.200172
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}12.87{col 59}{txt}Prob > chi2 ={col 73}{res}0.0016

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 87}
{txt}                      (1)            (2)            (3)            (4)            (5)  
{txt}             housef_per~n   housef_per~n    housef_pv50    housef_pv50    housef_pv90  
{txt}{hline 87}
{res}main                                                                                   {txt}
{txt}allcomm_in~x{res}       0.0378          0.104*        -0.419        -0.0397         -0.448  {txt}
            {res} {ralign 12:{txt:(}0.0598{txt:)}}   {ralign 12:{txt:(}0.0462{txt:)}}   {ralign 12:{txt:(}0.719{txt:)}}   {ralign 12:{txt:(}0.383{txt:)}}   {ralign 12:{txt:(}0.686{txt:)}}  {txt}

{txt}allfloor_i~x{res}       -0.195         -0.342**        1.865          2.165**        2.085  {txt}
            {res} {ralign 12:{txt:(}0.115{txt:)}}   {ralign 12:{txt:(}0.0844{txt:)}}   {ralign 12:{txt:(}1.320{txt:)}}   {ralign 12:{txt:(}0.699{txt:)}}   {ralign 12:{txt:(}1.156{txt:)}}  {txt}

{txt}approps     {res}      -0.0678*        0.0706        -0.0833         -0.295         -0.562  {txt}
            {res} {ralign 12:{txt:(}0.0307{txt:)}}   {ralign 12:{txt:(}0.0431{txt:)}}   {ralign 12:{txt:(}0.383{txt:)}}   {ralign 12:{txt:(}0.376{txt:)}}   {ralign 12:{txt:(}0.690{txt:)}}  {txt}

{txt}_cons       {res}        0.883**        0.802**       -2.144**       -1.542**       -4.171**{txt}
            {res} {ralign 12:{txt:(}0.0369{txt:)}}   {ralign 12:{txt:(}0.0714{txt:)}}   {ralign 12:{txt:(}0.418{txt:)}}   {ralign 12:{txt:(}0.446{txt:)}}   {ralign 12:{txt:(}0.926{txt:)}}  {txt}
{hline 87}
{res}lns1_1_1                                                                               {txt}
{txt}_cons       {res}       -2.809**       -1.828**       -0.654         -0.351          0.305  {txt}
            {res} {ralign 12:{txt:(}0.352{txt:)}}   {ralign 12:{txt:(}0.273{txt:)}}   {ralign 12:{txt:(}0.417{txt:)}}   {ralign 12:{txt:(}0.339{txt:)}}   {ralign 12:{txt:(}0.456{txt:)}}  {txt}
{hline 87}
{res}lns2_1_1                                                                               {txt}
{txt}_cons       {res}       -3.233**       -2.587**       -0.894         -0.411         -0.111  {txt}
            {res} {ralign 12:{txt:(}0.418{txt:)}}   {ralign 12:{txt:(}0.341{txt:)}}   {ralign 12:{txt:(}0.552{txt:)}}   {ralign 12:{txt:(}0.343{txt:)}}   {ralign 12:{txt:(}0.522{txt:)}}  {txt}
{hline 87}
{res}lnsig_e                                                                                {txt}
{txt}_cons       {res}       -1.470**       -1.268**                                             {txt}
            {res} {ralign 12:{txt:(}0.0401{txt:)}}   {ralign 12:{txt:(}0.0428{txt:)}}                                               {txt}
{txt}{hline 87}
{txt}N           {res}          326            295            326            295            295  {txt}
{txt}{hline 87}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A7
. eststo: mixed senatef_percmin allcomm_index allfloor_index approps || _all: R.cong || major: if cong<107
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 119.62034}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 119.66677}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: 119.66679}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: 119.66679}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       326

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      326{col 42}    326.0{col 53}      326
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        3{col 42}     17.2{col 53}       94
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     6.48
{txt}Log likelihood = {res} 119.66679{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0906

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .0886159{col 29}{space 2} .0423816{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4} .0055495{col 70}{space 3} .1716822
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2}-.0758185{col 29}{space 2} .0810133{col 40}{space 1}   -0.94{col 49}{space 3}0.349{col 57}{space 4}-.2346016{col 70}{space 3} .0829646
{txt}{space 8}approps {c |}{col 17}{res}{space 2} .0266211{col 29}{space 2} .0210055{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4}-.0145489{col 70}{space 3} .0677911
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .9037813{col 29}{space 2} .0298839{col 40}{space 1}   30.24{col 49}{space 3}0.000{col 57}{space 4}   .84521{col 70}{space 3} .9623527
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0035214{col 44} .0021883{col 58} .0010417{col 70} .0119036
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0002844{col 44} .0005004{col 58} 9.04e-06{col 70} .0089462
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0267314{col 44}  .002145{col 58} .0228411{col 70} .0312842
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}27.93{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: mixed senatef_percmin allcomm_index allfloor_index approps || _all: R.cong || major: if cong>106
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-14.956715}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-14.956715}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       295

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      295{col 42}    295.0{col 53}      295
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        1{col 42}     15.5{col 53}       63
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    12.89
{txt}Log likelihood = {res}-14.956715{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0049

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} -.020516{col 29}{space 2} .0397347{col 40}{space 1}   -0.52{col 49}{space 3}0.606{col 57}{space 4}-.0983947{col 70}{space 3} .0573626
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2}-.2282015{col 29}{space 2} .0721646{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4}-.3696415{col 70}{space 3}-.0867614
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0559847{col 29}{space 2} .0375757{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.1296317{col 70}{space 3} .0176622
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .9062751{col 29}{space 2} .0560141{col 40}{space 1}   16.18{col 49}{space 3}0.000{col 57}{space 4} .7964895{col 70}{space 3} 1.016061
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0126382{col 44} .0072786{col 58} .0040875{col 70} .0390762
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0074869{col 44} .0042375{col 58}  .002469{col 70} .0227027
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0577728{col 44} .0049676{col 58} .0488127{col 70} .0683775
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}44.26{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major: if cong<107

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.678974}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-72.028263}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-71.612185}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-71.612185}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-70.596037}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-70.557134}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-70.556677}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-70.556675}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       326

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      326{col 42}    326.0{col 53}      326{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        3{col 42}     17.2{col 53}       94{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     4.52
{txt}Log likelihood = {res}-70.556675{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2101

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.8245859{col 28}{space 2} 1.159421{col 39}{space 1}   -0.71{col 48}{space 3}0.477{col 56}{space 4}-3.097009{col 69}{space 3} 1.447837
{txt}allfloor_index {c |}{col 16}{res}{space 2} .3562667{col 28}{space 2} 1.899457{col 39}{space 1}    0.19{col 48}{space 3}0.851{col 56}{space 4}-3.366602{col 69}{space 3} 4.079135
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.168115{col 28}{space 2} .6040512{col 39}{space 1}   -1.93{col 48}{space 3}0.053{col 56}{space 4}-2.352034{col 69}{space 3} .0158033
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-2.719197{col 28}{space 2} .7063919{col 39}{space 1}   -3.85{col 48}{space 3}0.000{col 56}{space 4}  -4.1037{col 69}{space 3}-1.334694
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 1.334333{col 44} 1.207279{col 58} .2265238{col 70}  7.85986
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0344786{col 44} .2558356{col 58} 1.67e-08{col 70} 71380.21
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}9.72{col 59}{txt}Prob > chi2 ={col 73}{res}0.0078

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 allcomm_index allfloor_index approps || _all: R.cong || major: if cong>106

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-125.67135}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-125.20339}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-125.20339}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-125.20339}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-125.01058}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-125.00563}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-125.00562}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       295

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      295{col 42}    295.0{col 53}      295{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        1{col 42}     15.5{col 53}       63{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    14.45
{txt}Log likelihood = {res}-125.00562{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0024

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .6072856{col 28}{space 2} .4499441{col 39}{space 1}    1.35{col 48}{space 3}0.177{col 56}{space 4}-.2745886{col 69}{space 3}  1.48916
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.437332{col 28}{space 2} .8088028{col 39}{space 1}    3.01{col 48}{space 3}0.003{col 56}{space 4} .8521077{col 69}{space 3} 4.022556
{txt}{space 7}approps {c |}{col 16}{res}{space 2} .5285387{col 28}{space 2} .4481576{col 39}{space 1}    1.18{col 48}{space 3}0.238{col 56}{space 4}-.3498341{col 69}{space 3} 1.406912
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-3.183908{col 28}{space 2} .6109734{col 39}{space 1}   -5.21{col 48}{space 3}0.000{col 56}{space 4}-4.381394{col 69}{space 3}-1.986422
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .7399229{col 44} .5623673{col 58} .1668182{col 70} 3.281931
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9634945{col 44} .7396152{col 58} .2140102{col 70} 4.337745
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}16.21{col 59}{txt}Prob > chi2 ={col 73}{res}0.0003

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est4{txt} stored)

{com}. ** - NO 90% Party Votes pre-2000 -- eststo: meqrlogit senatef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major: if cong<107
. eststo: meqrlogit senatef_pv90 allcomm_index allfloor_index approps || _all: R.cong || major: if cong>106

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-45.303695}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-43.274869}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-42.992017}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-42.992017}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-41.295021}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-41.065166}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-41.062103}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-41.062101}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       295

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      295{col 42}    295.0{col 53}      295{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        1{col 42}     15.5{col 53}       63{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     1.85
{txt}Log likelihood = {res}-41.062101{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.6052

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .6367812{col 28}{space 2} .8648828{col 39}{space 1}    0.74{col 48}{space 3}0.462{col 56}{space 4}-1.058358{col 69}{space 3}  2.33192
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.4008245{col 28}{space 2} 1.677172{col 39}{space 1}   -0.24{col 48}{space 3}0.811{col 56}{space 4}-3.688022{col 69}{space 3} 2.886373
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.340924{col 28}{space 2} 1.216311{col 39}{space 1}   -1.10{col 48}{space 3}0.270{col 56}{space 4} -3.72485{col 69}{space 3} 1.043002
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-5.486015{col 28}{space 2} 1.607111{col 39}{space 1}   -3.41{col 48}{space 3}0.001{col 56}{space 4}-8.635895{col 69}{space 3}-2.336134
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  4.32924{col 44} 4.330229{col 58} .6095588{col 70} 30.74735
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.884888{col 44} 2.500173{col 58}  .527764{col 70} 15.76951
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}21.24{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 87}
{txt}                      (1)            (2)            (3)            (4)            (5)  
{txt}             senatef_pe~n   senatef_pe~n   senatef_pv50   senatef_pv50   senatef_pv90  
{txt}{hline 87}
{res}main                                                                                   {txt}
{txt}allcomm_in~x{res}       0.0886*       -0.0205         -0.825          0.607          0.637  {txt}
            {res} {ralign 12:{txt:(}0.0424{txt:)}}   {ralign 12:{txt:(}0.0397{txt:)}}   {ralign 12:{txt:(}1.159{txt:)}}   {ralign 12:{txt:(}0.450{txt:)}}   {ralign 12:{txt:(}0.865{txt:)}}  {txt}

{txt}allfloor_i~x{res}      -0.0758         -0.228**        0.356          2.437**       -0.401  {txt}
            {res} {ralign 12:{txt:(}0.0810{txt:)}}   {ralign 12:{txt:(}0.0722{txt:)}}   {ralign 12:{txt:(}1.899{txt:)}}   {ralign 12:{txt:(}0.809{txt:)}}   {ralign 12:{txt:(}1.677{txt:)}}  {txt}

{txt}approps     {res}       0.0266        -0.0560         -1.168          0.529         -1.341  {txt}
            {res} {ralign 12:{txt:(}0.0210{txt:)}}   {ralign 12:{txt:(}0.0376{txt:)}}   {ralign 12:{txt:(}0.604{txt:)}}   {ralign 12:{txt:(}0.448{txt:)}}   {ralign 12:{txt:(}1.216{txt:)}}  {txt}

{txt}_cons       {res}        0.904**        0.906**       -2.719**       -3.184**       -5.486**{txt}
            {res} {ralign 12:{txt:(}0.0299{txt:)}}   {ralign 12:{txt:(}0.0560{txt:)}}   {ralign 12:{txt:(}0.706{txt:)}}   {ralign 12:{txt:(}0.611{txt:)}}   {ralign 12:{txt:(}1.607{txt:)}}  {txt}
{hline 87}
{res}lns1_1_1                                                                               {txt}
{txt}_cons       {res}       -2.824**       -2.186**        0.144         -0.151          0.733  {txt}
            {res} {ralign 12:{txt:(}0.311{txt:)}}   {ralign 12:{txt:(}0.288{txt:)}}   {ralign 12:{txt:(}0.452{txt:)}}   {ralign 12:{txt:(}0.380{txt:)}}   {ralign 12:{txt:(}0.500{txt:)}}  {txt}
{hline 87}
{res}lns2_1_1                                                                               {txt}
{txt}_cons       {res}       -4.083**       -2.447**       -1.684        -0.0186          0.530  {txt}
            {res} {ralign 12:{txt:(}0.880{txt:)}}   {ralign 12:{txt:(}0.283{txt:)}}   {ralign 12:{txt:(}3.710{txt:)}}   {ralign 12:{txt:(}0.384{txt:)}}   {ralign 12:{txt:(}0.433{txt:)}}  {txt}
{hline 87}
{res}lnsig_e                                                                                {txt}
{txt}_cons       {res}       -1.811**       -1.426**                                             {txt}
            {res} {ralign 12:{txt:(}0.0401{txt:)}}   {ralign 12:{txt:(}0.0430{txt:)}}                                               {txt}
{txt}{hline 87}
{txt}N           {res}          326            295            326            295            295  {txt}
{txt}{hline 87}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. * Table A8
. eststo: mixed house1_percmin hcomm_index hfloor_index_2 approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:  -140.851}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:  -140.851}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    96.45
{txt}Log likelihood = {res}  -140.851{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}house1_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hcomm_index {c |}{col 16}{res}{space 2}  .086117{col 28}{space 2} .0346926{col 39}{space 1}    2.48{col 48}{space 3}0.013{col 56}{space 4} .0181208{col 69}{space 3} .1541131
{txt}hfloor_index_2 {c |}{col 16}{res}{space 2}-.3806008{col 28}{space 2} .0410936{col 39}{space 1}   -9.26{col 48}{space 3}0.000{col 56}{space 4}-.4611428{col 69}{space 3}-.3000588
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.1348955{col 28}{space 2} .0298006{col 39}{space 1}   -4.53{col 48}{space 3}0.000{col 56}{space 4}-.1933037{col 69}{space 3}-.0764873
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8667259{col 28}{space 2} .0370332{col 39}{space 1}   23.40{col 48}{space 3}0.000{col 56}{space 4} .7941422{col 69}{space 3} .9393095
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0072643{col 44} .0034675{col 58} .0028502{col 70} .0185141
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0044933{col 44} .0026639{col 58} .0014058{col 70} .0143618
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0867868{col 44} .0050546{col 58} .0774245{col 70} .0972813
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}37.23{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit house1_pv50 hcomm_index hfloor_index_2 approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-352.06438}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-347.12468}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-346.47996}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-346.47996}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-346.10562}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-345.88732}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-345.88689}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-345.88689}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    42.88
{txt}Log likelihood = {res}-345.88689{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   house1_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hcomm_index {c |}{col 16}{res}{space 2} .0163673{col 28}{space 2} .2688912{col 39}{space 1}    0.06{col 48}{space 3}0.951{col 56}{space 4}-.5106499{col 69}{space 3} .5433844
{txt}hfloor_index_2 {c |}{col 16}{res}{space 2} 2.172219{col 28}{space 2} .3341258{col 39}{space 1}    6.50{col 48}{space 3}0.000{col 56}{space 4} 1.517345{col 69}{space 3} 2.827094
{txt}{space 7}approps {c |}{col 16}{res}{space 2} .4296324{col 28}{space 2} .2409837{col 39}{space 1}    1.78{col 48}{space 3}0.075{col 56}{space 4} -.042687{col 69}{space 3} .9019517
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} -1.93253{col 28}{space 2} .2796557{col 39}{space 1}   -6.91{col 48}{space 3}0.000{col 56}{space 4}-2.480645{col 69}{space 3}-1.384415
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .1998296{col 44} .1238493{col 58} .0593071{col 70} .6733066
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .2857549{col 44} .1789365{col 58} .0837492{col 70} .9750045
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}19.26{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit house1_pv90 hcomm_index hfloor_index_2 approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -152.3175}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-148.80466}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-148.69549}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-148.69549}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-148.14921}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -147.7703}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-147.49165}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-147.48513}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-147.48513}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    21.15
{txt}Log likelihood = {res}-147.48513{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   house1_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hcomm_index {c |}{col 16}{res}{space 2} .2320308{col 28}{space 2} .4087536{col 39}{space 1}    0.57{col 48}{space 3}0.570{col 56}{space 4}-.5691114{col 69}{space 3} 1.033173
{txt}hfloor_index_2 {c |}{col 16}{res}{space 2} 2.526412{col 28}{space 2} .5761402{col 39}{space 1}    4.39{col 48}{space 3}0.000{col 56}{space 4} 1.397198{col 69}{space 3} 3.655626
{txt}{space 7}approps {c |}{col 16}{res}{space 2} .5487234{col 28}{space 2} .3812299{col 39}{space 1}    1.44{col 48}{space 3}0.150{col 56}{space 4}-.1984735{col 69}{space 3}  1.29592
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} -4.19564{col 28}{space 2} .4452063{col 39}{space 1}   -9.42{col 48}{space 3}0.000{col 56}{space 4}-5.068228{col 69}{space 3}-3.323051
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .1207737{col 44} .2089344{col 58} .0040684{col 70}  3.58527
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .2301563{col 44} .2632358{col 58} .0244614{col 70} 2.165531
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}1.57{col 59}{txt}Prob > chi2 ={col 73}{res}0.4559

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed housef_percmin allcomm_index allfloor_index_2 approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-59.552074}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-59.552074}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    33.05
{txt}Log likelihood = {res}-59.552074{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  housef_percmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allcomm_index {c |}{col 18}{res}{space 2} .0755777{col 30}{space 2} .0339686{col 41}{space 1}    2.22{col 50}{space 3}0.026{col 58}{space 4} .0090005{col 71}{space 3}  .142155
{txt}allfloor_index_2 {c |}{col 18}{res}{space 2}-.3419321{col 30}{space 2} .0607078{col 41}{space 1}   -5.63{col 50}{space 3}0.000{col 58}{space 4}-.4609171{col 71}{space 3} -.222947
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-.0190227{col 30}{space 2} .0268774{col 41}{space 1}   -0.71{col 50}{space 3}0.479{col 58}{space 4}-.0717013{col 71}{space 3}  .033656
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8747368{col 30}{space 2} .0428843{col 41}{space 1}   20.40{col 50}{space 3}0.000{col 58}{space 4} .7906852{col 71}{space 3} .9587884
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0142138{col 44} .0058589{col 58} .0063364{col 70} .0318842
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .004214{col 44} .0023398{col 58} .0014193{col 70} .0125116
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0653099{col 44} .0038061{col 58} .0582603{col 70} .0732125
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}87.11{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit housef_pv50 allcomm_index allfloor_index_2 approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-308.33277}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-304.89451}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-304.83429}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-304.83429}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-304.26592}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-304.09638}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-304.09628}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-304.09628}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    21.82
{txt}Log likelihood = {res}-304.09628{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     housef_pv50{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allcomm_index {c |}{col 18}{res}{space 2}-.0165329{col 30}{space 2} .3188329{col 41}{space 1}   -0.05{col 50}{space 3}0.959{col 58}{space 4}-.6414339{col 71}{space 3} .6083681
{txt}allfloor_index_2 {c |}{col 18}{res}{space 2} 2.398293{col 30}{space 2} .5679255{col 41}{space 1}    4.22{col 50}{space 3}0.000{col 58}{space 4} 1.285179{col 71}{space 3} 3.511406
{txt}{space 9}approps {c |}{col 18}{res}{space 2} -.145493{col 30}{space 2} .2719773{col 41}{space 1}   -0.53{col 50}{space 3}0.593{col 58}{space 4}-.6785586{col 71}{space 3} .3875726
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.109008{col 30}{space 2} .3329148{col 41}{space 1}   -6.33{col 50}{space 3}0.000{col 58}{space 4}-2.761509{col 71}{space 3}-1.456507
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .3954079{col 44} .2079087{col 58} .1410837{col 70}  1.10819
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3209951{col 44} .2045204{col 58} .0920788{col 70} 1.119018
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}27.59{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit housef_pv90 allcomm_index allfloor_index_2 approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.890022}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-71.349917}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-71.011473}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-71.011473}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-69.119196}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-68.632785}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-68.608984}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-68.608648}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-68.608648}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     6.42
{txt}Log likelihood = {res}-68.608648{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0927

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     housef_pv90{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allcomm_index {c |}{col 18}{res}{space 2}-.2052814{col 30}{space 2} .6821224{col 41}{space 1}   -0.30{col 50}{space 3}0.763{col 58}{space 4}-1.542217{col 71}{space 3} 1.131654
{txt}allfloor_index_2 {c |}{col 18}{res}{space 2} 2.782962{col 30}{space 2} 1.244396{col 41}{space 1}    2.24{col 50}{space 3}0.025{col 58}{space 4}  .343991{col 71}{space 3} 5.221934
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-.6113898{col 30}{space 2} .6997071{col 41}{space 1}   -0.87{col 50}{space 3}0.382{col 58}{space 4}-1.982791{col 71}{space 3}  .760011
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-6.435404{col 30}{space 2} 1.432581{col 41}{space 1}   -4.49{col 50}{space 3}0.000{col 58}{space 4}-9.243211{col 71}{space 3}-3.627596
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 5.156835{col 44} 5.050336{col 58} .7564157{col 70} 35.15652
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8658306{col 44} .9015393{col 58} .1124932{col 70} 6.664074
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}20.11{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}hcomm_index {res}       0.0861*        0.0164          0.232                                               {txt}
            {res} {ralign 12:{txt:(}0.0347{txt:)}}   {ralign 12:{txt:(}0.269{txt:)}}   {ralign 12:{txt:(}0.409{txt:)}}                                               {txt}

{txt}hfloor_ind~2{res}       -0.381**        2.172**        2.526**                                             {txt}
            {res} {ralign 12:{txt:(}0.0411{txt:)}}   {ralign 12:{txt:(}0.334{txt:)}}   {ralign 12:{txt:(}0.576{txt:)}}                                               {txt}

{txt}approps     {res}       -0.135**        0.430          0.549        -0.0190         -0.145         -0.611  {txt}
            {res} {ralign 12:{txt:(}0.0298{txt:)}}   {ralign 12:{txt:(}0.241{txt:)}}   {ralign 12:{txt:(}0.381{txt:)}}   {ralign 12:{txt:(}0.0269{txt:)}}   {ralign 12:{txt:(}0.272{txt:)}}   {ralign 12:{txt:(}0.700{txt:)}}  {txt}

{txt}allcomm_in~x{res}                                                    0.0756*       -0.0165         -0.205  {txt}
            {res}                                              {ralign 12:{txt:(}0.0340{txt:)}}   {ralign 12:{txt:(}0.319{txt:)}}   {ralign 12:{txt:(}0.682{txt:)}}  {txt}

{txt}allfloor_i~2{res}                                                    -0.342**        2.398**        2.783* {txt}
            {res}                                              {ralign 12:{txt:(}0.0607{txt:)}}   {ralign 12:{txt:(}0.568{txt:)}}   {ralign 12:{txt:(}1.244{txt:)}}  {txt}

{txt}_cons       {res}        0.867**       -1.933**       -4.196**        0.875**       -2.109**       -6.435**{txt}
            {res} {ralign 12:{txt:(}0.0370{txt:)}}   {ralign 12:{txt:(}0.280{txt:)}}   {ralign 12:{txt:(}0.445{txt:)}}   {ralign 12:{txt:(}0.0429{txt:)}}   {ralign 12:{txt:(}0.333{txt:)}}   {ralign 12:{txt:(}1.433{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.462**       -0.805**       -1.057         -2.127**       -0.464          0.820  {txt}
            {res} {ralign 12:{txt:(}0.239{txt:)}}   {ralign 12:{txt:(}0.310{txt:)}}   {ralign 12:{txt:(}0.865{txt:)}}   {ralign 12:{txt:(}0.206{txt:)}}   {ralign 12:{txt:(}0.263{txt:)}}   {ralign 12:{txt:(}0.490{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.703**       -0.626*        -0.734         -2.735**       -0.568        -0.0720  {txt}
            {res} {ralign 12:{txt:(}0.296{txt:)}}   {ralign 12:{txt:(}0.313{txt:)}}   {ralign 12:{txt:(}0.572{txt:)}}   {ralign 12:{txt:(}0.278{txt:)}}   {ralign 12:{txt:(}0.319{txt:)}}   {ralign 12:{txt:(}0.521{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.222**                                     -1.364**                              {txt}
            {res} {ralign 12:{txt:(}0.0291{txt:)}}                                 {ralign 12:{txt:(}0.0291{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A9
. eststo: mixed senate1_percmin scomm_index sfloor_index approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 55.843326}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 55.843326}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    21.60
{txt}Log likelihood = {res} 55.843326{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2}-.0298095{col 29}{space 2} .0232412{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4}-.0753614{col 70}{space 3} .0157424
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2}-.1744605{col 29}{space 2} .0394341{col 40}{space 1}   -4.42{col 49}{space 3}0.000{col 57}{space 4}-.2517498{col 70}{space 3}-.0971712
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0095591{col 29}{space 2} .0220237{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4}-.0527249{col 70}{space 3} .0336066
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8919293{col 29}{space 2} .0313126{col 40}{space 1}   28.48{col 49}{space 3}0.000{col 57}{space 4} .8305577{col 70}{space 3} .9533009
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0074873{col 44}  .003298{col 58} .0031578{col 70} .0177527
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0040641{col 44}  .002047{col 58} .0015143{col 70}  .010907
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0450186{col 44} .0026265{col 58} .0401543{col 70} .0504723
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}72.09{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit senate1_pv50 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-211.82651}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.71955}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-210.71955}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.21324}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.19482}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-210.19476}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-210.19476}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.18
{txt}Log likelihood = {res}-210.19476{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} .7406736{col 26}{space 2} .3213323{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .1108739{col 67}{space 3} 1.370473
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.889296{col 26}{space 2} .4976288{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .9139619{col 67}{space 3} 2.864631
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.3298357{col 26}{space 2}  .350518{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-1.016838{col 67}{space 3}  .357167
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.869831{col 26}{space 2} .4180136{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-3.689123{col 67}{space 3} -2.05054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  .591377{col 44} .3528205{col 58} .1836667{col 70} 1.904138
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8538566{col 44} .5114264{col 58} .2639665{col 70} 2.761984
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}29.28{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit senate1_pv90 scomm_index sfloor_index approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-54.791162}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-52.566123}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-52.186345}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-52.186345}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-50.755037}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-50.642196}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-50.641374}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-50.641374}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     3.71
{txt}Log likelihood = {res}-50.641374{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2947

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2}  .998766{col 26}{space 2} .7456431{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.4626676{col 67}{space 3}   2.4602
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.154709{col 26}{space 2} 1.015842{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.8363048{col 67}{space 3} 3.145724
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.7944837{col 26}{space 2}  .954945{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-2.666142{col 67}{space 3} 1.077174
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.408992{col 26}{space 2} 1.342856{col 37}{space 1}   -4.77{col 46}{space 3}0.000{col 54}{space 4}-9.040942{col 67}{space 3}-3.777043
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 3.552306{col 44} 3.408379{col 58} .5417467{col 70} 23.29294
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.930556{col 44} 1.752537{col 58} .3258152{col 70} 11.43914
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}18.51{col 59}{txt}Prob > chi2 ={col 73}{res}0.0001

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed senatef_percmin allcomm_index allfloor_index_2 approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 69.876922}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 69.876923}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    20.39
{txt}Log likelihood = {res} 69.876923{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} senatef_percmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allcomm_index {c |}{col 18}{res}{space 2} .0042786{col 30}{space 2} .0275909{col 41}{space 1}    0.16{col 50}{space 3}0.877{col 58}{space 4}-.0497986{col 71}{space 3} .0583558
{txt}allfloor_index_2 {c |}{col 18}{res}{space 2}-.2169077{col 30}{space 2} .0492885{col 41}{space 1}   -4.40{col 50}{space 3}0.000{col 58}{space 4}-.3135113{col 71}{space 3} -.120304
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-.0183086{col 30}{space 2} .0217671{col 41}{space 1}   -0.84{col 50}{space 3}0.400{col 58}{space 4}-.0609713{col 71}{space 3} .0243541
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .9254397{col 30}{space 2} .0342164{col 41}{space 1}   27.05{col 50}{space 3}0.000{col 58}{space 4} .8583768{col 71}{space 3} .9925026
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0089669{col 44}  .003814{col 58} .0038957{col 70} .0206395
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0025128{col 44} .0015375{col 58} .0007574{col 70} .0083365
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0431631{col 44} .0025215{col 58} .0384935{col 70} .0483991
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}69.80{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 allcomm_index allfloor_index_2 approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-202.80564}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-201.27705}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-201.27705}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-201.27705}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-200.60289}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-200.55737}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-200.55732}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-200.55732}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    17.49
{txt}Log likelihood = {res}-200.55732{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0006

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    senatef_pv50{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allcomm_index {c |}{col 18}{res}{space 2} .4950251{col 30}{space 2} .3857143{col 41}{space 1}    1.28{col 50}{space 3}0.199{col 58}{space 4}-.2609609{col 71}{space 3} 1.251011
{txt}allfloor_index_2 {c |}{col 18}{res}{space 2} 2.385072{col 30}{space 2} .6931084{col 41}{space 1}    3.44{col 50}{space 3}0.001{col 58}{space 4} 1.026605{col 71}{space 3}  3.74354
{txt}{space 9}approps {c |}{col 18}{res}{space 2} -.157512{col 30}{space 2} .3555562{col 41}{space 1}   -0.44{col 50}{space 3}0.658{col 58}{space 4}-.8543892{col 71}{space 3} .5393653
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-3.379373{col 30}{space 2} .4762762{col 41}{space 1}   -7.10{col 50}{space 3}0.000{col 58}{space 4}-4.312857{col 71}{space 3}-2.445889
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .8475028{col 44} .5143269{col 58} .2579702{col 70} 2.784279
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .6539761{col 44} .4805874{col 58} .1548957{col 70} 2.761114
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}23.67{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit senatef_pv90 allcomm_index allfloor_index_2 approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-49.193216}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-46.583942}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-45.973558}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-45.973558}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-43.314769}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-42.837272}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-42.804131}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-42.803465}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-42.803464}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     2.22
{txt}Log likelihood = {res}-42.803464{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.5277

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    senatef_pv90{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allcomm_index {c |}{col 18}{res}{space 2} .7271703{col 30}{space 2} .8660102{col 41}{space 1}    0.84{col 50}{space 3}0.401{col 58}{space 4}-.9701785{col 71}{space 3} 2.424519
{txt}allfloor_index_2 {c |}{col 18}{res}{space 2} .3601182{col 30}{space 2} 1.806409{col 41}{space 1}    0.20{col 50}{space 3}0.842{col 58}{space 4}-3.180378{col 71}{space 3} 3.900615
{txt}{space 9}approps {c |}{col 18}{res}{space 2}-1.395402{col 30}{space 2} 1.212245{col 41}{space 1}   -1.15{col 50}{space 3}0.250{col 58}{space 4}-3.771358{col 71}{space 3} .9805541
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-7.982243{col 30}{space 2} 2.433093{col 41}{space 1}   -3.28{col 50}{space 3}0.001{col 58}{space 4}-12.75102{col 71}{space 3}-3.213469
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 10.18881{col 44} 13.16076{col 58} .8102837{col 70}  128.118
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.328716{col 44}  2.93211{col 58} .5922335{col 70} 18.70942
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}24.38{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}scomm_index {res}      -0.0298          0.741*         0.999                                               {txt}
            {res} {ralign 12:{txt:(}0.0232{txt:)}}   {ralign 12:{txt:(}0.321{txt:)}}   {ralign 12:{txt:(}0.746{txt:)}}                                               {txt}

{txt}sfloor_index{res}       -0.174**        1.889**        1.155                                               {txt}
            {res} {ralign 12:{txt:(}0.0394{txt:)}}   {ralign 12:{txt:(}0.498{txt:)}}   {ralign 12:{txt:(}1.016{txt:)}}                                               {txt}

{txt}approps     {res}     -0.00956         -0.330         -0.794        -0.0183         -0.158         -1.395  {txt}
            {res} {ralign 12:{txt:(}0.0220{txt:)}}   {ralign 12:{txt:(}0.351{txt:)}}   {ralign 12:{txt:(}0.955{txt:)}}   {ralign 12:{txt:(}0.0218{txt:)}}   {ralign 12:{txt:(}0.356{txt:)}}   {ralign 12:{txt:(}1.212{txt:)}}  {txt}

{txt}allcomm_in~x{res}                                                   0.00428          0.495          0.727  {txt}
            {res}                                              {ralign 12:{txt:(}0.0276{txt:)}}   {ralign 12:{txt:(}0.386{txt:)}}   {ralign 12:{txt:(}0.866{txt:)}}  {txt}

{txt}allfloor_i~2{res}                                                    -0.217**        2.385**        0.360  {txt}
            {res}                                              {ralign 12:{txt:(}0.0493{txt:)}}   {ralign 12:{txt:(}0.693{txt:)}}   {ralign 12:{txt:(}1.806{txt:)}}  {txt}

{txt}_cons       {res}        0.892**       -2.870**       -6.409**        0.925**       -3.379**       -7.982**{txt}
            {res} {ralign 12:{txt:(}0.0313{txt:)}}   {ralign 12:{txt:(}0.418{txt:)}}   {ralign 12:{txt:(}1.343{txt:)}}   {ralign 12:{txt:(}0.0342{txt:)}}   {ralign 12:{txt:(}0.476{txt:)}}   {ralign 12:{txt:(}2.433{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.447**       -0.263          0.634         -2.357**      -0.0827          1.161  {txt}
            {res} {ralign 12:{txt:(}0.220{txt:)}}   {ralign 12:{txt:(}0.298{txt:)}}   {ralign 12:{txt:(}0.480{txt:)}}   {ralign 12:{txt:(}0.213{txt:)}}   {ralign 12:{txt:(}0.303{txt:)}}   {ralign 12:{txt:(}0.646{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.753**      -0.0790          0.329         -2.993**       -0.212          0.601  {txt}
            {res} {ralign 12:{txt:(}0.252{txt:)}}   {ralign 12:{txt:(}0.299{txt:)}}   {ralign 12:{txt:(}0.454{txt:)}}   {ralign 12:{txt:(}0.306{txt:)}}   {ralign 12:{txt:(}0.367{txt:)}}   {ralign 12:{txt:(}0.440{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.550**                                     -1.571**                              {txt}
            {res} {ralign 12:{txt:(}0.0292{txt:)}}                                 {ralign 12:{txt:(}0.0292{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. * Table A10
. eststo: mixed house1_percmin anyhcommunorth anyhfloorunorth approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-170.22357}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-170.22357}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    30.51
{txt}Log likelihood = {res}-170.22357{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anyhcommunorth {c |}{col 17}{res}{space 2}  .086977{col 29}{space 2} .0301251{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} .0279328{col 70}{space 3} .1460211
{txt}anyhfloorunorth {c |}{col 17}{res}{space 2}-.1185166{col 29}{space 2} .0277726{col 40}{space 1}   -4.27{col 49}{space 3}0.000{col 57}{space 4}  -.17295{col 70}{space 3}-.0640833
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0992011{col 29}{space 2}  .031342{col 40}{space 1}   -3.17{col 49}{space 3}0.002{col 57}{space 4}-.1606304{col 70}{space 3}-.0377719
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .7683402{col 29}{space 2}  .041446{col 40}{space 1}   18.54{col 49}{space 3}0.000{col 57}{space 4} .6871075{col 70}{space 3} .8495729
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0096695{col 44}  .004388{col 58} .0039732{col 70} .0235328
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0078913{col 44} .0040194{col 58}  .002908{col 70} .0214144
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}   .09426{col 44} .0054911{col 58} .0840894{col 70} .1056608
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}55.97{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit house1_pv50 anyhcommunorth anyhfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-366.67471}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-363.56026}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-362.58286}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-362.58286}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-362.22823}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-362.17952}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-362.17946}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-362.17946}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    12.45
{txt}Log likelihood = {res}-362.17946{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0060

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    house1_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anyhcommunorth {c |}{col 17}{res}{space 2}-.1224916{col 29}{space 2} .2231599{col 40}{space 1}   -0.55{col 49}{space 3}0.583{col 57}{space 4}-.5598769{col 70}{space 3} .3148938
{txt}anyhfloorunorth {c |}{col 17}{res}{space 2} .7455692{col 29}{space 2} .2133629{col 40}{space 1}    3.49{col 49}{space 3}0.000{col 57}{space 4} .3273857{col 70}{space 3} 1.163753
{txt}{space 8}approps {c |}{col 17}{res}{space 2}  .231741{col 29}{space 2}  .236212{col 40}{space 1}    0.98{col 49}{space 3}0.327{col 57}{space 4}-.2312259{col 70}{space 3}  .694708
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.376352{col 29}{space 2} .2903391{col 40}{space 1}   -4.74{col 49}{space 3}0.000{col 57}{space 4}-1.945406{col 70}{space 3}-.8072979
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .3299885{col 44} .1734362{col 58} .1177937{col 70} .9244332
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3735567{col 44} .2108735{col 58} .1235525{col 70} 1.129436
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}35.75{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit house1_pv90 anyhcommunorth anyhfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-159.85191}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -156.7278}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-156.72737}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-156.72737}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-156.56491}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-156.56278}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-156.56278}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     3.77
{txt}Log likelihood = {res}-156.56278{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2871

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    house1_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anyhcommunorth {c |}{col 17}{res}{space 2} .2075363{col 29}{space 2} .3562805{col 40}{space 1}    0.58{col 49}{space 3}0.560{col 57}{space 4}-.4907606{col 70}{space 3} .9058332
{txt}anyhfloorunorth {c |}{col 17}{res}{space 2} .6093119{col 29}{space 2} .3970516{col 40}{space 1}    1.53{col 49}{space 3}0.125{col 57}{space 4}-.1688949{col 70}{space 3} 1.387519
{txt}{space 8}approps {c |}{col 17}{res}{space 2} .4014205{col 29}{space 2} .3982259{col 40}{space 1}    1.01{col 49}{space 3}0.313{col 57}{space 4} -.379088{col 70}{space 3} 1.181929
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.445437{col 29}{space 2} .4635721{col 40}{space 1}   -7.43{col 49}{space 3}0.000{col 57}{space 4}-4.354022{col 70}{space 3}-2.536853
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .4293787{col 44} .3456956{col 58} .0886202{col 70} 2.080407
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .4823039{col 44} .3632943{col 58} .1101933{col 70} 2.110991
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}9.29{col 59}{txt}Prob > chi2 ={col 73}{res}0.0096

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed housef_percmin anycommunorth anyfloorunorth approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.913535}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-73.913535}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     3.31
{txt}Log likelihood = {res}-73.913535{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.3463

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anycommunorth {c |}{col 16}{res}{space 2}  .038424{col 28}{space 2} .0245121{col 39}{space 1}    1.57{col 48}{space 3}0.117{col 56}{space 4}-.0096188{col 69}{space 3} .0864667
{txt}anyfloorunorth {c |}{col 16}{res}{space 2}-.0283109{col 28}{space 2}  .029644{col 39}{space 1}   -0.96{col 48}{space 3}0.340{col 56}{space 4} -.086412{col 69}{space 3} .0297902
{txt}{space 7}approps {c |}{col 16}{res}{space 2} .0175658{col 28}{space 2} .0277912{col 39}{space 1}    0.63{col 48}{space 3}0.527{col 56}{space 4} -.036904{col 69}{space 3} .0720355
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .7836226{col 28}{space 2} .0482219{col 39}{space 1}   16.25{col 48}{space 3}0.000{col 56}{space 4} .6891093{col 69}{space 3} .8781358
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0163633{col 44}  .006628{col 58} .0073976{col 70} .0361952
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0056521{col 44} .0028631{col 58} .0020942{col 70} .0152545
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0679488{col 44} .0039579{col 58} .0606179{col 70} .0761663
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}110.03{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit housef_pv50 anycommunorth anyfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -316.1207}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-313.92482}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-313.60514}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-313.60514}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -313.1754}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-313.07636}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-313.07635}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     3.70
{txt}Log likelihood = {res}-313.07635{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.2953

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anycommunorth {c |}{col 16}{res}{space 2}-.0296206{col 28}{space 2} .2345342{col 39}{space 1}   -0.13{col 48}{space 3}0.899{col 56}{space 4}-.4892992{col 69}{space 3} .4300581
{txt}anyfloorunorth {c |}{col 16}{res}{space 2} .2991433{col 28}{space 2} .3046508{col 39}{space 1}    0.98{col 48}{space 3}0.326{col 56}{space 4}-.2979613{col 69}{space 3} .8962478
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.3707455{col 28}{space 2} .2732669{col 39}{space 1}   -1.36{col 48}{space 3}0.175{col 56}{space 4}-.9063389{col 69}{space 3} .1648478
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} -1.52156{col 28}{space 2} .3960574{col 39}{space 1}   -3.84{col 48}{space 3}0.000{col 56}{space 4}-2.297818{col 69}{space 3}-.7453013
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .5667741{col 44} .2719752{col 58}  .221283{col 70} 1.451684
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .4113947{col 44} .2360829{col 58} .1335944{col 70} 1.266861
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}48.91{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit housef_pv90 anycommunorth anyfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-77.388927}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-72.349403}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-71.876873}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-71.876873}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-69.330785}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-68.491957}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-68.428693}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-68.419101}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-68.417063}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res: -68.41655}  
{res}{txt}Iteration 7:{space 3}log likelihood = {res: -68.41645}  
{res}{txt}Iteration 8:{space 3}log likelihood = {res:-68.416433}  
{res}{txt}Iteration 9:{space 3}log likelihood = {res:-68.416431}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     1.30
{txt}Log likelihood = {res}-68.416431{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.7297

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anycommunorth {c |}{col 16}{res}{space 2} .4496587{col 28}{space 2} .5714981{col 39}{space 1}    0.79{col 48}{space 3}0.431{col 56}{space 4}-.6704569{col 69}{space 3} 1.569774
{txt}anyfloorunorth {c |}{col 16}{res}{space 2} 15.85261{col 28}{space 2} 1205.909{col 39}{space 1}    0.01{col 48}{space 3}0.990{col 56}{space 4}-2347.686{col 69}{space 3} 2379.392
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.5222262{col 28}{space 2} .6993981{col 39}{space 1}   -0.75{col 48}{space 3}0.455{col 56}{space 4}-1.893021{col 69}{space 3} .8485688
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-21.54052{col 28}{space 2}  1205.91{col 39}{space 1}   -0.02{col 48}{space 3}0.986{col 56}{space 4} -2385.08{col 69}{space 3} 2341.999
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 5.833426{col 44} 5.596756{col 58} .8897265{col 70} 38.24643
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9873895{col 44} .9738176{col 58} .1428851{col 70} 6.823231
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}31.04{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}anyhcommun~h{res}       0.0870**       -0.122          0.208                                               {txt}
            {res} {ralign 12:{txt:(}0.0301{txt:)}}   {ralign 12:{txt:(}0.223{txt:)}}   {ralign 12:{txt:(}0.356{txt:)}}                                               {txt}

{txt}anyhflooru~h{res}       -0.119**        0.746**        0.609                                               {txt}
            {res} {ralign 12:{txt:(}0.0278{txt:)}}   {ralign 12:{txt:(}0.213{txt:)}}   {ralign 12:{txt:(}0.397{txt:)}}                                               {txt}

{txt}approps     {res}      -0.0992**        0.232          0.401         0.0176         -0.371         -0.522  {txt}
            {res} {ralign 12:{txt:(}0.0313{txt:)}}   {ralign 12:{txt:(}0.236{txt:)}}   {ralign 12:{txt:(}0.398{txt:)}}   {ralign 12:{txt:(}0.0278{txt:)}}   {ralign 12:{txt:(}0.273{txt:)}}   {ralign 12:{txt:(}0.699{txt:)}}  {txt}

{txt}anycommuno~h{res}                                                    0.0384        -0.0296          0.450  {txt}
            {res}                                              {ralign 12:{txt:(}0.0245{txt:)}}   {ralign 12:{txt:(}0.235{txt:)}}   {ralign 12:{txt:(}0.571{txt:)}}  {txt}

{txt}anyfloorun~h{res}                                                   -0.0283          0.299          15.85  {txt}
            {res}                                              {ralign 12:{txt:(}0.0296{txt:)}}   {ralign 12:{txt:(}0.305{txt:)}}   {ralign 12:{txt:(}1205.9{txt:)}}  {txt}

{txt}_cons       {res}        0.768**       -1.376**       -3.445**        0.784**       -1.522**       -21.54  {txt}
            {res} {ralign 12:{txt:(}0.0414{txt:)}}   {ralign 12:{txt:(}0.290{txt:)}}   {ralign 12:{txt:(}0.464{txt:)}}   {ralign 12:{txt:(}0.0482{txt:)}}   {ralign 12:{txt:(}0.396{txt:)}}   {ralign 12:{txt:(}1205.9{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.319**       -0.554*        -0.423         -2.056**       -0.284          0.882  {txt}
            {res} {ralign 12:{txt:(}0.227{txt:)}}   {ralign 12:{txt:(}0.263{txt:)}}   {ralign 12:{txt:(}0.403{txt:)}}   {ralign 12:{txt:(}0.203{txt:)}}   {ralign 12:{txt:(}0.240{txt:)}}   {ralign 12:{txt:(}0.480{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.421**       -0.492         -0.365         -2.588**       -0.444       -0.00635  {txt}
            {res} {ralign 12:{txt:(}0.255{txt:)}}   {ralign 12:{txt:(}0.282{txt:)}}   {ralign 12:{txt:(}0.377{txt:)}}   {ralign 12:{txt:(}0.253{txt:)}}   {ralign 12:{txt:(}0.287{txt:)}}   {ralign 12:{txt:(}0.493{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.181**                                     -1.345**                              {txt}
            {res} {ralign 12:{txt:(}0.0291{txt:)}}                                 {ralign 12:{txt:(}0.0291{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A11
. eststo: mixed senate1_percmin anyscommunorth anysfloorunorth approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 51.335299}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 51.335299}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    12.07
{txt}Log likelihood = {res} 51.335299{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0071

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anyscommunorth {c |}{col 17}{res}{space 2}-.0182443{col 29}{space 2} .0198752{col 40}{space 1}   -0.92{col 49}{space 3}0.359{col 57}{space 4} -.057199{col 70}{space 3} .0207103
{txt}anysfloorunorth {c |}{col 17}{res}{space 2}-.0694849{col 29}{space 2} .0208004{col 40}{space 1}   -3.34{col 49}{space 3}0.001{col 57}{space 4} -.110253{col 70}{space 3}-.0287169
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0070878{col 29}{space 2} .0222838{col 40}{space 1}   -0.32{col 49}{space 3}0.750{col 57}{space 4}-.0507632{col 70}{space 3} .0365876
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8858038{col 29}{space 2} .0331662{col 40}{space 1}   26.71{col 49}{space 3}0.000{col 57}{space 4} .8207993{col 70}{space 3} .9508082
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0085555{col 44}  .003688{col 58} .0036755{col 70} .0199145
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .004361{col 44} .0021636{col 58} .0016493{col 70} .0115314
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0455097{col 44} .0026547{col 58}  .040593{col 70} .0510219
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}82.19{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)

{com}. eststo: meqrlogit senate1_pv50 anyscommunorth anysfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-213.54903}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-212.71305}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-212.71305}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-212.71305}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-212.09833}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-212.07217}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-212.07209}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-212.07209}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    18.05
{txt}Log likelihood = {res}-212.07209{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0004

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   senate1_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anyscommunorth {c |}{col 17}{res}{space 2} .7000045{col 29}{space 2} .2858548{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4} .1397394{col 70}{space 3}  1.26027
{txt}anysfloorunorth {c |}{col 17}{res}{space 2} .9178213{col 29}{space 2}  .293115{col 40}{space 1}    3.13{col 49}{space 3}0.002{col 57}{space 4} .3433264{col 70}{space 3} 1.492316
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.3050502{col 29}{space 2} .3497509{col 40}{space 1}   -0.87{col 49}{space 3}0.383{col 57}{space 4}-.9905493{col 70}{space 3}  .380449
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.987068{col 29}{space 2} .4521344{col 40}{space 1}   -6.61{col 49}{space 3}0.000{col 57}{space 4}-3.873235{col 70}{space 3}-2.100901
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .6907864{col 44} .3931414{col 58} .2264158{col 70} 2.107564
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9554293{col 44} .5630856{col 58} .3009816{col 70} 3.032893
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}35.55{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit senate1_pv90 anyscommunorth anysfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-56.375643}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-53.887455}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -52.98137}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -52.98137}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-51.466964}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -51.42486}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-51.424489}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-51.424489}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     2.29
{txt}Log likelihood = {res}-51.424489{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.5150

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   senate1_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anyscommunorth {c |}{col 17}{res}{space 2} .8490104{col 29}{space 2} .7134542{col 40}{space 1}    1.19{col 49}{space 3}0.234{col 57}{space 4}-.5493341{col 70}{space 3} 2.247355
{txt}anysfloorunorth {c |}{col 17}{res}{space 2} .1326461{col 29}{space 2} .6851111{col 40}{space 1}    0.19{col 49}{space 3}0.846{col 57}{space 4}-1.210147{col 70}{space 3} 1.475439
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.6598383{col 29}{space 2} .9531804{col 40}{space 1}   -0.69{col 49}{space 3}0.489{col 57}{space 4}-2.528038{col 70}{space 3} 1.208361
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-6.507355{col 29}{space 2}  1.46351{col 40}{space 1}   -4.45{col 49}{space 3}0.000{col 57}{space 4}-9.375781{col 70}{space 3}-3.638929
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 4.320872{col 44} 4.111104{col 58} .6694122{col 70} 27.89004
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.188753{col 44} 1.938309{col 58} .3858267{col 70} 12.41656
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}24.23{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed senatef_percmin anycommunorth anyfloorunorth approps || _all: R.cong || major:
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 61.048544}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 61.048544}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     1.51
{txt}Log likelihood = {res} 61.048544{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.6798

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}anycommunorth {c |}{col 17}{res}{space 2} .0019579{col 29}{space 2} .0197111{col 40}{space 1}    0.10{col 49}{space 3}0.921{col 57}{space 4}-.0366752{col 70}{space 3} .0405909
{txt}{space 1}anyfloorunorth {c |}{col 17}{res}{space 2}-.0277986{col 29}{space 2} .0238415{col 40}{space 1}   -1.17{col 49}{space 3}0.244{col 57}{space 4}-.0745272{col 70}{space 3} .0189299
{txt}{space 8}approps {c |}{col 17}{res}{space 2} .0002515{col 29}{space 2} .0222912{col 40}{space 1}    0.01{col 49}{space 3}0.991{col 57}{space 4}-.0434386{col 70}{space 3} .0439415
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8746298{col 29}{space 2} .0399119{col 40}{space 1}   21.91{col 49}{space 3}0.000{col 57}{space 4}  .796404{col 70}{space 3} .9528557
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0121903{col 44} .0049575{col 58} .0054935{col 70} .0270504
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0033216{col 44} .0018097{col 58} .0011418{col 70} .0096628
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0439375{col 44} .0025627{col 58} .0391911{col 70} .0492587
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}109.02{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 anycommunorth anyfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -208.7289}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-207.56475}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-207.53805}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-207.53805}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-206.70486}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-206.64921}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-206.64918}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-206.64918}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     4.93
{txt}Log likelihood = {res}-206.64918{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1773

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anycommunorth {c |}{col 16}{res}{space 2} .3340807{col 28}{space 2} .3032407{col 39}{space 1}    1.10{col 48}{space 3}0.271{col 56}{space 4}-.2602601{col 69}{space 3} .9284215
{txt}anyfloorunorth {c |}{col 16}{res}{space 2} .5907163{col 28}{space 2} .4443441{col 39}{space 1}    1.33{col 48}{space 3}0.184{col 56}{space 4}-.2801821{col 69}{space 3} 1.461615
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.2534374{col 28}{space 2} .3580054{col 39}{space 1}   -0.71{col 48}{space 3}0.479{col 56}{space 4}-.9551151{col 69}{space 3} .4482402
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-3.146404{col 28}{space 2} .6070898{col 39}{space 1}   -5.18{col 48}{space 3}0.000{col 56}{space 4}-4.336278{col 69}{space 3}-1.956529
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 1.308593{col 44} .7079753{col 58} .4531972{col 70} 3.778521
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .8252877{col 44} .5612679{col 58} .2176275{col 70} 3.129658
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}46.79{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit senatef_pv90 anycommunorth anyfloorunorth approps || _all: R.cong || major:

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-50.479938}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -46.48622}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-46.373039}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-46.373039}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-42.809261}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-42.584333}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-42.572873}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-42.571341}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-42.571137}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res: -42.57111}  
{res}{txt}Iteration 7:{space 3}log likelihood = {res:-42.571105}  
{res}{txt}Iteration 8:{space 3}log likelihood = {res:-42.571104}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 12}_all{txt}{col 17}{c |}{res}{col 21}       1{col 31}      621{col 42}    621.0{col 53}      621{col 71}  1
{col 11}major{txt}{col 17}{c |}{res}{col 21}      19{col 31}        6{col 42}     32.7{col 53}      141{col 71}  1
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}     1.28
{txt}Log likelihood = {res}-42.571104{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.7340

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}anycommunorth {c |}{col 16}{res}{space 2}  .284593{col 28}{space 2} .8103988{col 39}{space 1}    0.35{col 48}{space 3}0.725{col 56}{space 4} -1.30376{col 69}{space 3} 1.872945
{txt}anyfloorunorth {c |}{col 16}{res}{space 2} 14.27347{col 28}{space 2} 1273.725{col 39}{space 1}    0.01{col 48}{space 3}0.991{col 56}{space 4}-2482.182{col 69}{space 3} 2510.729
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.267127{col 28}{space 2} 1.222451{col 39}{space 1}   -1.04{col 48}{space 3}0.300{col 56}{space 4}-3.663088{col 69}{space 3} 1.128833
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-21.93965{col 28}{space 2} 1273.726{col 39}{space 1}   -0.02{col 48}{space 3}0.986{col 56}{space 4}-2518.397{col 69}{space 3} 2474.518
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 10.72587{col 44} 13.34728{col 58} .9358318{col 70} 122.9328
{txt}{hline 29}{c +}{hline 48}
{res}major{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.270261{col 44} 2.811779{col 58} .6063411{col 70} 17.63794
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}35.47{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}anyscommun~h{res}      -0.0182          0.700*         0.849                                               {txt}
            {res} {ralign 12:{txt:(}0.0199{txt:)}}   {ralign 12:{txt:(}0.286{txt:)}}   {ralign 12:{txt:(}0.713{txt:)}}                                               {txt}

{txt}anysflooru~h{res}      -0.0695**        0.918**        0.133                                               {txt}
            {res} {ralign 12:{txt:(}0.0208{txt:)}}   {ralign 12:{txt:(}0.293{txt:)}}   {ralign 12:{txt:(}0.685{txt:)}}                                               {txt}

{txt}approps     {res}     -0.00709         -0.305         -0.660       0.000251         -0.253         -1.267  {txt}
            {res} {ralign 12:{txt:(}0.0223{txt:)}}   {ralign 12:{txt:(}0.350{txt:)}}   {ralign 12:{txt:(}0.953{txt:)}}   {ralign 12:{txt:(}0.0223{txt:)}}   {ralign 12:{txt:(}0.358{txt:)}}   {ralign 12:{txt:(}1.222{txt:)}}  {txt}

{txt}anycommuno~h{res}                                                   0.00196          0.334          0.285  {txt}
            {res}                                              {ralign 12:{txt:(}0.0197{txt:)}}   {ralign 12:{txt:(}0.303{txt:)}}   {ralign 12:{txt:(}0.810{txt:)}}  {txt}

{txt}anyfloorun~h{res}                                                   -0.0278          0.591          14.27  {txt}
            {res}                                              {ralign 12:{txt:(}0.0238{txt:)}}   {ralign 12:{txt:(}0.444{txt:)}}   {ralign 12:{txt:(}1273.7{txt:)}}  {txt}

{txt}_cons       {res}        0.886**       -2.987**       -6.507**        0.875**       -3.146**       -21.94  {txt}
            {res} {ralign 12:{txt:(}0.0332{txt:)}}   {ralign 12:{txt:(}0.452{txt:)}}   {ralign 12:{txt:(}1.464{txt:)}}   {ralign 12:{txt:(}0.0399{txt:)}}   {ralign 12:{txt:(}0.607{txt:)}}   {ralign 12:{txt:(}1273.7{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.381**       -0.185          0.732         -2.204**        0.134          1.186  {txt}
            {res} {ralign 12:{txt:(}0.216{txt:)}}   {ralign 12:{txt:(}0.285{txt:)}}   {ralign 12:{txt:(}0.476{txt:)}}   {ralign 12:{txt:(}0.203{txt:)}}   {ralign 12:{txt:(}0.271{txt:)}}   {ralign 12:{txt:(}0.622{txt:)}}  {txt}
{hline 102}
{res}lns2_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.718**      -0.0228          0.392         -2.854**      -0.0960          0.592  {txt}
            {res} {ralign 12:{txt:(}0.248{txt:)}}   {ralign 12:{txt:(}0.295{txt:)}}   {ralign 12:{txt:(}0.443{txt:)}}   {ralign 12:{txt:(}0.272{txt:)}}   {ralign 12:{txt:(}0.340{txt:)}}   {ralign 12:{txt:(}0.430{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.545**                                     -1.562**                              {txt}
            {res} {ralign 12:{txt:(}0.0292{txt:)}}                                 {ralign 12:{txt:(}0.0292{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. * Table A12
. eststo: reg house1_percmin hcomm_index hfloor_index approps dividedgov dividedchambers house_maj_seat housepolar i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(25, 595)      = {res}     6.08
{txt}       Model {c |} {res} 14.8437731        25  .593750925   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 58.0781232       595  .097610291   {txt}R-squared       ={res}    0.2036
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1701
{txt}       Total {c |} {res} 72.9218963       620  .117615962   {txt}Root MSE        =   {res} .31243

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}hcomm_index {c |}{col 17}{res}{space 2} .1224582{col 29}{space 2} .0379391{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4} .0479474{col 70}{space 3} .1969689
{txt}{space 3}hfloor_index {c |}{col 17}{res}{space 2} -.276505{col 29}{space 2} .0499605{col 40}{space 1}   -5.53{col 49}{space 3}0.000{col 57}{space 4}-.3746253{col 70}{space 3}-.1783847
{txt}{space 8}approps {c |}{col 17}{res}{space 2} -.095431{col 29}{space 2} .0329935{col 40}{space 1}   -2.89{col 49}{space 3}0.004{col 57}{space 4}-.1602289{col 70}{space 3}-.0306332
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2} .1078323{col 29}{space 2} .0295695{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .0497591{col 70}{space 3} .1659056
{txt}dividedchambers {c |}{col 17}{res}{space 2} .0554338{col 29}{space 2} .0392209{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4}-.0215945{col 70}{space 3}  .132462
{txt}{space 1}house_maj_seat {c |}{col 17}{res}{space 2}-.0023119{col 29}{space 2} .0010396{col 40}{space 1}   -2.22{col 49}{space 3}0.027{col 57}{space 4}-.0043537{col 70}{space 3}-.0002701
{txt}{space 5}housepolar {c |}{col 17}{res}{space 2}-.4537986{col 29}{space 2} .2791144{col 40}{space 1}   -1.63{col 49}{space 3}0.105{col 57}{space 4}-1.001968{col 70}{space 3} .0943707
{txt}{space 15} {c |}
{space 10}major {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .3027641{col 29}{space 2} .1287582{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} .0498882{col 70}{space 3}   .55564
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .3794935{col 29}{space 2} .0872624{col 40}{space 1}    4.35{col 49}{space 3}0.000{col 57}{space 4} .2081137{col 70}{space 3} .5508733
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .2668969{col 29}{space 2} .0890863{col 40}{space 1}    3.00{col 49}{space 3}0.003{col 57}{space 4} .0919351{col 70}{space 3} .4418587
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .3040669{col 29}{space 2} .1007617{col 40}{space 1}    3.02{col 49}{space 3}0.003{col 57}{space 4} .1061752{col 70}{space 3} .5019587
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .3105443{col 29}{space 2}  .104457{col 40}{space 1}    2.97{col 49}{space 3}0.003{col 57}{space 4}  .105395{col 70}{space 3} .5156936
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .4791543{col 29}{space 2} .1097147{col 40}{space 1}    4.37{col 49}{space 3}0.000{col 57}{space 4}  .263679{col 70}{space 3} .6946295
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .4410716{col 29}{space 2} .1240453{col 40}{space 1}    3.56{col 49}{space 3}0.000{col 57}{space 4} .1974517{col 70}{space 3} .6846914
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .3627527{col 29}{space 2} .0819983{col 40}{space 1}    4.42{col 49}{space 3}0.000{col 57}{space 4} .2017115{col 70}{space 3} .5237939
{txt}{space 12}12  {c |}{col 17}{res}{space 2} .2360394{col 29}{space 2} .0962083{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4} .0470904{col 70}{space 3} .4249885
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .4199249{col 29}{space 2} .1135858{col 40}{space 1}    3.70{col 49}{space 3}0.000{col 57}{space 4} .1968471{col 70}{space 3} .6430027
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .2528366{col 29}{space 2} .1451874{col 40}{space 1}    1.74{col 49}{space 3}0.082{col 57}{space 4}-.0323055{col 70}{space 3} .5379786
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .2564596{col 29}{space 2} .0824636{col 40}{space 1}    3.11{col 49}{space 3}0.002{col 57}{space 4} .0945044{col 70}{space 3} .4184149
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .3320363{col 29}{space 2}  .074332{col 40}{space 1}    4.47{col 49}{space 3}0.000{col 57}{space 4} .1860513{col 70}{space 3} .4780213
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .1860686{col 29}{space 2} .1097751{col 40}{space 1}    1.69{col 49}{space 3}0.091{col 57}{space 4}-.0295253{col 70}{space 3} .4016624
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .1950621{col 29}{space 2} .0895512{col 40}{space 1}    2.18{col 49}{space 3}0.030{col 57}{space 4} .0191872{col 70}{space 3}  .370937
{txt}{space 12}19  {c |}{col 17}{res}{space 2}  .258565{col 29}{space 2} .0914718{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .0789182{col 70}{space 3} .4382119
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .1800334{col 29}{space 2}  .075319{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .0321099{col 70}{space 3} .3279568
{txt}{space 12}21  {c |}{col 17}{res}{space 2} .3183659{col 29}{space 2}  .090528{col 40}{space 1}    3.52{col 49}{space 3}0.000{col 57}{space 4} .1405727{col 70}{space 3} .4961592
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.315514{col 29}{space 2} .4093802{col 40}{space 1}    3.21{col 49}{space 3}0.001{col 57}{space 4} .5115086{col 70}{space 3}  2.11952
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: logit house1_pv50 hcomm_index hfloor_index approps dividedgov dividedchambers house_maj_seat housepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-390.98534}  
Iteration 1:{space 3}log pseudolikelihood = {res:-359.78139}  
Iteration 2:{space 3}log pseudolikelihood = {res:-359.44941}  
Iteration 3:{space 3}log pseudolikelihood = {res:-359.44919}  
Iteration 4:{space 3}log pseudolikelihood = {res:-359.44919}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     69.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-359.44919{txt}{col 49}Pseudo R2{col 67}= {res}    0.0807

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    house1_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}hcomm_index {c |}{col 17}{res}{space 2}-.1980713{col 29}{space 2} .2968241{col 40}{space 1}   -0.67{col 49}{space 3}0.505{col 57}{space 4}-.7798359{col 70}{space 3} .3836933
{txt}{space 3}hfloor_index {c |}{col 17}{res}{space 2} 1.745401{col 29}{space 2} .3398021{col 40}{space 1}    5.14{col 49}{space 3}0.000{col 57}{space 4} 1.079401{col 70}{space 3} 2.411401
{txt}{space 8}approps {c |}{col 17}{res}{space 2} .4125504{col 29}{space 2} .3637196{col 40}{space 1}    1.13{col 49}{space 3}0.257{col 57}{space 4}-.3003269{col 70}{space 3} 1.125428
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2} -.711102{col 29}{space 2}  .240574{col 40}{space 1}   -2.96{col 49}{space 3}0.003{col 57}{space 4}-1.182618{col 70}{space 3}-.2395856
{txt}dividedchambers {c |}{col 17}{res}{space 2}-.1072687{col 29}{space 2} .2797725{col 40}{space 1}   -0.38{col 49}{space 3}0.701{col 57}{space 4}-.6556128{col 70}{space 3} .4410754
{txt}{space 1}house_maj_seat {c |}{col 17}{res}{space 2} .0081178{col 29}{space 2} .0069732{col 40}{space 1}    1.16{col 49}{space 3}0.244{col 57}{space 4}-.0055494{col 70}{space 3}  .021785
{txt}{space 5}housepolar {c |}{col 17}{res}{space 2} 3.445458{col 29}{space 2} 1.774586{col 40}{space 1}    1.94{col 49}{space 3}0.052{col 57}{space 4}-.0326678{col 70}{space 3} 6.923583
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.504682{col 29}{space 2} 2.602582{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-10.60565{col 70}{space 3}-.4037142
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: logit house1_pv90 hcomm_index hfloor_index approps dividedgov dividedchambers house_maj_seat housepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-166.49039}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.72396}  
Iteration 2:{space 3}log pseudolikelihood = {res:-148.93979}  
Iteration 3:{space 3}log pseudolikelihood = {res:-148.92201}  
Iteration 4:{space 3}log pseudolikelihood = {res:-148.92199}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     58.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-148.92199{txt}{col 49}Pseudo R2{col 67}= {res}    0.1055

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    house1_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}hcomm_index {c |}{col 17}{res}{space 2}-.1170935{col 29}{space 2} .3995544{col 40}{space 1}   -0.29{col 49}{space 3}0.769{col 57}{space 4}-.9002058{col 70}{space 3} .6660188
{txt}{space 3}hfloor_index {c |}{col 17}{res}{space 2} 1.868899{col 29}{space 2} .4377031{col 40}{space 1}    4.27{col 49}{space 3}0.000{col 57}{space 4} 1.011016{col 70}{space 3} 2.726781
{txt}{space 8}approps {c |}{col 17}{res}{space 2} .5295271{col 29}{space 2} .3950193{col 40}{space 1}    1.34{col 49}{space 3}0.180{col 57}{space 4}-.2446965{col 70}{space 3} 1.303751
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2}-.5787455{col 29}{space 2} .2974157{col 40}{space 1}   -1.95{col 49}{space 3}0.052{col 57}{space 4}-1.161669{col 70}{space 3} .0041785
{txt}dividedchambers {c |}{col 17}{res}{space 2}-.0800985{col 29}{space 2} .5459137{col 40}{space 1}   -0.15{col 49}{space 3}0.883{col 57}{space 4} -1.15007{col 70}{space 3} .9898727
{txt}{space 1}house_maj_seat {c |}{col 17}{res}{space 2}-.0075591{col 29}{space 2} .0192713{col 40}{space 1}   -0.39{col 49}{space 3}0.695{col 57}{space 4}-.0453302{col 70}{space 3}  .030212
{txt}{space 5}housepolar {c |}{col 17}{res}{space 2} 6.879537{col 29}{space 2} 3.756925{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4}-.4838999{col 70}{space 3} 14.24297
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-6.571574{col 29}{space 2} 7.512111{col 40}{space 1}   -0.87{col 49}{space 3}0.382{col 57}{space 4}-21.29504{col 70}{space 3} 8.151892
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: reg housef_percmin allcomm_index allfloor_index approps dividedgov dividedchambers house_maj_seat housepolar i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(25, 595)      = {res}     6.67
{txt}       Model {c |} {res} 12.0882502        25  .483530007   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  43.135852       595   .07249723   {txt}R-squared       ={res}    0.2189
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1861
{txt}       Total {c |} {res} 55.2241022       620  .089071133   {txt}Root MSE        =   {res} .26925

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} housef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .0774955{col 29}{space 2} .0370595{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4} .0047122{col 70}{space 3} .1502788
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2}-.3033834{col 29}{space 2} .0661983{col 40}{space 1}   -4.58{col 49}{space 3}0.000{col 57}{space 4}-.4333941{col 70}{space 3}-.1733727
{txt}{space 8}approps {c |}{col 17}{res}{space 2} .0086099{col 29}{space 2} .0289643{col 40}{space 1}    0.30{col 49}{space 3}0.766{col 57}{space 4}-.0482749{col 70}{space 3} .0654946
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2} .1742209{col 29}{space 2} .0254125{col 40}{space 1}    6.86{col 49}{space 3}0.000{col 57}{space 4} .1243118{col 70}{space 3} .2241299
{txt}dividedchambers {c |}{col 17}{res}{space 2} .0438715{col 29}{space 2} .0337695{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4}-.0224504{col 70}{space 3} .1101935
{txt}{space 1}house_maj_seat {c |}{col 17}{res}{space 2} -.001912{col 29}{space 2} .0009071{col 40}{space 1}   -2.11{col 49}{space 3}0.035{col 57}{space 4}-.0036935{col 70}{space 3}-.0001306
{txt}{space 5}housepolar {c |}{col 17}{res}{space 2}-.0180859{col 29}{space 2}  .251174{col 40}{space 1}   -0.07{col 49}{space 3}0.943{col 57}{space 4}-.5113813{col 70}{space 3} .4752095
{txt}{space 15} {c |}
{space 10}major {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .2440805{col 29}{space 2} .1109502{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} .0261789{col 70}{space 3} .4619821
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .3469465{col 29}{space 2} .0747803{col 40}{space 1}    4.64{col 49}{space 3}0.000{col 57}{space 4} .2000811{col 70}{space 3} .4938119
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .2420943{col 29}{space 2} .0767093{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0914404{col 70}{space 3} .3927482
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .2760079{col 29}{space 2} .0868056{col 40}{space 1}    3.18{col 49}{space 3}0.002{col 57}{space 4} .1055252{col 70}{space 3} .4464906
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .3382989{col 29}{space 2} .0900444{col 40}{space 1}    3.76{col 49}{space 3}0.000{col 57}{space 4} .1614554{col 70}{space 3} .5151423
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .4305136{col 29}{space 2} .0945579{col 40}{space 1}    4.55{col 49}{space 3}0.000{col 57}{space 4} .2448058{col 70}{space 3} .6162214
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .3504778{col 29}{space 2} .1068519{col 40}{space 1}    3.28{col 49}{space 3}0.001{col 57}{space 4} .1406251{col 70}{space 3} .5603305
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .2576843{col 29}{space 2} .0706634{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .1189042{col 70}{space 3} .3964644
{txt}{space 12}12  {c |}{col 17}{res}{space 2} .2101032{col 29}{space 2}  .082562{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} .0479548{col 70}{space 3} .3722516
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .2790216{col 29}{space 2} .0971772{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4} .0881696{col 70}{space 3} .4698737
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .2866225{col 29}{space 2} .1248194{col 40}{space 1}    2.30{col 49}{space 3}0.022{col 57}{space 4} .0414824{col 70}{space 3} .5317627
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .2459277{col 29}{space 2}  .071019{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4} .1064493{col 70}{space 3} .3854061
{txt}{space 12}16  {c |}{col 17}{res}{space 2}  .271532{col 29}{space 2} .0638386{col 40}{space 1}    4.25{col 49}{space 3}0.000{col 57}{space 4} .1461555{col 70}{space 3} .3969084
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .340477{col 29}{space 2} .0943289{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} .1552189{col 70}{space 3}  .525735
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .1353996{col 29}{space 2} .0774121{col 40}{space 1}    1.75{col 49}{space 3}0.081{col 57}{space 4}-.0166346{col 70}{space 3} .2874338
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .2406963{col 29}{space 2} .0783351{col 40}{space 1}    3.07{col 49}{space 3}0.002{col 57}{space 4} .0868495{col 70}{space 3} .3945432
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .1559091{col 29}{space 2} .0647285{col 40}{space 1}    2.41{col 49}{space 3}0.016{col 57}{space 4}  .028785{col 70}{space 3} .2830331
{txt}{space 12}21  {c |}{col 17}{res}{space 2} .2626005{col 29}{space 2} .0780111{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4}   .10939{col 70}{space 3} .4158111
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .9346847{col 29}{space 2} .3607539{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .2261788{col 70}{space 3} 1.643191
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. eststo: logit housef_pv50 allcomm_index allfloor_index approps dividedgov dividedchambers house_maj_seat housepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-342.17452}  
Iteration 1:{space 3}log pseudolikelihood = {res:-304.64586}  
Iteration 2:{space 3}log pseudolikelihood = {res:-303.31175}  
Iteration 3:{space 3}log pseudolikelihood = {res:-303.30898}  
Iteration 4:{space 3}log pseudolikelihood = {res:-303.30898}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}    161.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-303.30898{txt}{col 49}Pseudo R2{col 67}= {res}    0.1136

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    housef_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2}-.0445107{col 29}{space 2} .3582938{col 40}{space 1}   -0.12{col 49}{space 3}0.901{col 57}{space 4}-.7467536{col 70}{space 3} .6577322
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2} 2.169488{col 29}{space 2} .5501247{col 40}{space 1}    3.94{col 49}{space 3}0.000{col 57}{space 4} 1.091263{col 70}{space 3} 3.247712
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.1210536{col 29}{space 2} .3753999{col 40}{space 1}   -0.32{col 49}{space 3}0.747{col 57}{space 4} -.856824{col 70}{space 3} .6147168
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2}-1.092565{col 29}{space 2} .2229752{col 40}{space 1}   -4.90{col 49}{space 3}0.000{col 57}{space 4}-1.529588{col 70}{space 3}-.6555412
{txt}dividedchambers {c |}{col 17}{res}{space 2} .1711338{col 29}{space 2} .2495947{col 40}{space 1}    0.69{col 49}{space 3}0.493{col 57}{space 4}-.3180627{col 70}{space 3} .6603304
{txt}{space 1}house_maj_seat {c |}{col 17}{res}{space 2} .0206694{col 29}{space 2} .0055065{col 40}{space 1}    3.75{col 49}{space 3}0.000{col 57}{space 4} .0098768{col 70}{space 3}  .031462
{txt}{space 5}housepolar {c |}{col 17}{res}{space 2} 1.586351{col 29}{space 2} 2.049499{col 40}{space 1}    0.77{col 49}{space 3}0.439{col 57}{space 4}-2.430593{col 70}{space 3} 5.603294
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-7.269998{col 29}{space 2} 2.451196{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4}-12.07425{col 70}{space 3}-2.465743
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}. eststo: logit housef_pv90 allcomm_index allfloor_index approps dividedgov dividedchambers house_maj_seat housepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-91.763838}  
Iteration 1:{space 3}log pseudolikelihood = {res:-73.989361}  
Iteration 2:{space 3}log pseudolikelihood = {res:-68.465063}  
Iteration 3:{space 3}log pseudolikelihood = {res:-68.399612}  
Iteration 4:{space 3}log pseudolikelihood = {res:-68.399378}  
Iteration 5:{space 3}log pseudolikelihood = {res:-68.399378}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}    218.99
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-68.399378{txt}{col 49}Pseudo R2{col 67}= {res}    0.2546

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    housef_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2}-.0583823{col 29}{space 2} .4729677{col 40}{space 1}   -0.12{col 49}{space 3}0.902{col 57}{space 4} -.985382{col 70}{space 3} .8686173
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2} 3.015152{col 29}{space 2} 1.129233{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .8018964{col 70}{space 3} 5.228407
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.6639729{col 29}{space 2} .4337413{col 40}{space 1}   -1.53{col 49}{space 3}0.126{col 57}{space 4} -1.51409{col 70}{space 3} .1861444
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2}-2.340884{col 29}{space 2} .5717841{col 40}{space 1}   -4.09{col 49}{space 3}0.000{col 57}{space 4}-3.461561{col 70}{space 3}-1.220208
{txt}dividedchambers {c |}{col 17}{res}{space 2}-.8716731{col 29}{space 2} 1.082867{col 40}{space 1}   -0.80{col 49}{space 3}0.421{col 57}{space 4}-2.994053{col 70}{space 3} 1.250706
{txt}{space 1}house_maj_seat {c |}{col 17}{res}{space 2} .0074361{col 29}{space 2} .0362163{col 40}{space 1}    0.21{col 49}{space 3}0.837{col 57}{space 4}-.0635467{col 70}{space 3} .0784188
{txt}{space 5}housepolar {c |}{col 17}{res}{space 2} 5.036514{col 29}{space 2} 8.168135{col 40}{space 1}    0.62{col 49}{space 3}0.537{col 57}{space 4}-10.97274{col 70}{space 3} 21.04576
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-8.890319{col 29}{space 2} 14.78155{col 40}{space 1}   -0.60{col 49}{space 3}0.548{col 57}{space 4}-37.86162{col 70}{space 3} 20.08098
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}hcomm_index {res}        0.122**       -0.198         -0.117                                               {txt}
            {res} {ralign 12:{txt:(}0.0379{txt:)}}   {ralign 12:{txt:(}0.297{txt:)}}   {ralign 12:{txt:(}0.400{txt:)}}                                               {txt}

{txt}hfloor_index{res}       -0.277**        1.745**        1.869**                                             {txt}
            {res} {ralign 12:{txt:(}0.0500{txt:)}}   {ralign 12:{txt:(}0.340{txt:)}}   {ralign 12:{txt:(}0.438{txt:)}}                                               {txt}

{txt}approps     {res}      -0.0954**        0.413          0.530        0.00861         -0.121         -0.664  {txt}
            {res} {ralign 12:{txt:(}0.0330{txt:)}}   {ralign 12:{txt:(}0.364{txt:)}}   {ralign 12:{txt:(}0.395{txt:)}}   {ralign 12:{txt:(}0.0290{txt:)}}   {ralign 12:{txt:(}0.375{txt:)}}   {ralign 12:{txt:(}0.434{txt:)}}  {txt}

{txt}dividedgov  {res}        0.108**       -0.711**       -0.579          0.174**       -1.093**       -2.341**{txt}
            {res} {ralign 12:{txt:(}0.0296{txt:)}}   {ralign 12:{txt:(}0.241{txt:)}}   {ralign 12:{txt:(}0.297{txt:)}}   {ralign 12:{txt:(}0.0254{txt:)}}   {ralign 12:{txt:(}0.223{txt:)}}   {ralign 12:{txt:(}0.572{txt:)}}  {txt}

{txt}dividedcha~s{res}       0.0554         -0.107        -0.0801         0.0439          0.171         -0.872  {txt}
            {res} {ralign 12:{txt:(}0.0392{txt:)}}   {ralign 12:{txt:(}0.280{txt:)}}   {ralign 12:{txt:(}0.546{txt:)}}   {ralign 12:{txt:(}0.0338{txt:)}}   {ralign 12:{txt:(}0.250{txt:)}}   {ralign 12:{txt:(}1.083{txt:)}}  {txt}

{txt}house_maj_~t{res}     -0.00231*       0.00812       -0.00756       -0.00191*        0.0207**      0.00744  {txt}
            {res} {ralign 12:{txt:(}0.00104{txt:)}}   {ralign 12:{txt:(}0.00697{txt:)}}   {ralign 12:{txt:(}0.0193{txt:)}}   {ralign 12:{txt:(}0.000907{txt:)}}   {ralign 12:{txt:(}0.00551{txt:)}}   {ralign 12:{txt:(}0.0362{txt:)}}  {txt}

{txt}housepolar  {res}       -0.454          3.445          6.880        -0.0181          1.586          5.037  {txt}
            {res} {ralign 12:{txt:(}0.279{txt:)}}   {ralign 12:{txt:(}1.775{txt:)}}   {ralign 12:{txt:(}3.757{txt:)}}   {ralign 12:{txt:(}0.251{txt:)}}   {ralign 12:{txt:(}2.049{txt:)}}   {ralign 12:{txt:(}8.168{txt:)}}  {txt}

{txt}1.major     {res}            0                                            0                                {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                 {ralign 12:{txt:(}.{txt:)}}                                {txt}

{txt}2.major     {res}        0.303*                                       0.244*                               {txt}
            {res} {ralign 12:{txt:(}0.129{txt:)}}                                 {ralign 12:{txt:(}0.111{txt:)}}                                {txt}

{txt}3.major     {res}        0.379**                                      0.347**                              {txt}
            {res} {ralign 12:{txt:(}0.0873{txt:)}}                                 {ralign 12:{txt:(}0.0748{txt:)}}                                {txt}

{txt}4.major     {res}        0.267**                                      0.242**                              {txt}
            {res} {ralign 12:{txt:(}0.0891{txt:)}}                                 {ralign 12:{txt:(}0.0767{txt:)}}                                {txt}

{txt}5.major     {res}        0.304**                                      0.276**                              {txt}
            {res} {ralign 12:{txt:(}0.101{txt:)}}                                 {ralign 12:{txt:(}0.0868{txt:)}}                                {txt}

{txt}6.major     {res}        0.311**                                      0.338**                              {txt}
            {res} {ralign 12:{txt:(}0.104{txt:)}}                                 {ralign 12:{txt:(}0.0900{txt:)}}                                {txt}

{txt}7.major     {res}        0.479**                                      0.431**                              {txt}
            {res} {ralign 12:{txt:(}0.110{txt:)}}                                 {ralign 12:{txt:(}0.0946{txt:)}}                                {txt}

{txt}8.major     {res}        0.441**                                      0.350**                              {txt}
            {res} {ralign 12:{txt:(}0.124{txt:)}}                                 {ralign 12:{txt:(}0.107{txt:)}}                                {txt}

{txt}10.major    {res}        0.363**                                      0.258**                              {txt}
            {res} {ralign 12:{txt:(}0.0820{txt:)}}                                 {ralign 12:{txt:(}0.0707{txt:)}}                                {txt}

{txt}12.major    {res}        0.236*                                       0.210*                               {txt}
            {res} {ralign 12:{txt:(}0.0962{txt:)}}                                 {ralign 12:{txt:(}0.0826{txt:)}}                                {txt}

{txt}13.major    {res}        0.420**                                      0.279**                              {txt}
            {res} {ralign 12:{txt:(}0.114{txt:)}}                                 {ralign 12:{txt:(}0.0972{txt:)}}                                {txt}

{txt}14.major    {res}        0.253                                        0.287*                               {txt}
            {res} {ralign 12:{txt:(}0.145{txt:)}}                                 {ralign 12:{txt:(}0.125{txt:)}}                                {txt}

{txt}15.major    {res}        0.256**                                      0.246**                              {txt}
            {res} {ralign 12:{txt:(}0.0825{txt:)}}                                 {ralign 12:{txt:(}0.0710{txt:)}}                                {txt}

{txt}16.major    {res}        0.332**                                      0.272**                              {txt}
            {res} {ralign 12:{txt:(}0.0743{txt:)}}                                 {ralign 12:{txt:(}0.0638{txt:)}}                                {txt}

{txt}17.major    {res}        0.186                                        0.340**                              {txt}
            {res} {ralign 12:{txt:(}0.110{txt:)}}                                 {ralign 12:{txt:(}0.0943{txt:)}}                                {txt}

{txt}18.major    {res}        0.195*                                       0.135                                {txt}
            {res} {ralign 12:{txt:(}0.0896{txt:)}}                                 {ralign 12:{txt:(}0.0774{txt:)}}                                {txt}

{txt}19.major    {res}        0.259**                                      0.241**                              {txt}
            {res} {ralign 12:{txt:(}0.0915{txt:)}}                                 {ralign 12:{txt:(}0.0783{txt:)}}                                {txt}

{txt}20.major    {res}        0.180*                                       0.156*                               {txt}
            {res} {ralign 12:{txt:(}0.0753{txt:)}}                                 {ralign 12:{txt:(}0.0647{txt:)}}                                {txt}

{txt}21.major    {res}        0.318**                                      0.263**                              {txt}
            {res} {ralign 12:{txt:(}0.0905{txt:)}}                                 {ralign 12:{txt:(}0.0780{txt:)}}                                {txt}

{txt}allcomm_in~x{res}                                                    0.0775*       -0.0445        -0.0584  {txt}
            {res}                                              {ralign 12:{txt:(}0.0371{txt:)}}   {ralign 12:{txt:(}0.358{txt:)}}   {ralign 12:{txt:(}0.473{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.303**        2.169**        3.015**{txt}
            {res}                                              {ralign 12:{txt:(}0.0662{txt:)}}   {ralign 12:{txt:(}0.550{txt:)}}   {ralign 12:{txt:(}1.129{txt:)}}  {txt}

{txt}_cons       {res}        1.316**       -5.505*        -6.572          0.935**       -7.270**       -8.890  {txt}
            {res} {ralign 12:{txt:(}0.409{txt:)}}   {ralign 12:{txt:(}2.603{txt:)}}   {ralign 12:{txt:(}7.512{txt:)}}   {ralign 12:{txt:(}0.361{txt:)}}   {ralign 12:{txt:(}2.451{txt:)}}   {ralign 12:{txt:(}14.78{txt:)}}  {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A13
. eststo: reg senate1_percmin scomm_index sfloor_index approps dividedgov dividedchambers senate_maj_seat senatepolar i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(25, 595)      = {res}     7.54
{txt}       Model {c |} {res} 8.79195308        25  .351678123   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 27.7446977       595  .046629744   {txt}R-squared       ={res}    0.2406
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2087
{txt}       Total {c |} {res} 36.5366508       620  .058930082   {txt}Root MSE        =   {res} .21594

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2}-.0405936{col 29}{space 2} .0237582{col 40}{space 1}   -1.71{col 49}{space 3}0.088{col 57}{space 4}-.0872537{col 70}{space 3} .0060666
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2}-.1861886{col 29}{space 2} .0401958{col 40}{space 1}   -4.63{col 49}{space 3}0.000{col 57}{space 4}-.2651315{col 70}{space 3}-.1072456
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0076514{col 29}{space 2} .0230298{col 40}{space 1}   -0.33{col 49}{space 3}0.740{col 57}{space 4}-.0528811{col 70}{space 3} .0375783
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2} .1127427{col 29}{space 2} .0218911{col 40}{space 1}    5.15{col 49}{space 3}0.000{col 57}{space 4} .0697495{col 70}{space 3} .1557359
{txt}dividedchambers {c |}{col 17}{res}{space 2}-.0419343{col 29}{space 2} .0276258{col 40}{space 1}   -1.52{col 49}{space 3}0.130{col 57}{space 4}-.0961902{col 70}{space 3} .0123215
{txt}senate_maj_seat {c |}{col 17}{res}{space 2}-.0165404{col 29}{space 2} .0047701{col 40}{space 1}   -3.47{col 49}{space 3}0.001{col 57}{space 4}-.0259087{col 70}{space 3}-.0071722
{txt}{space 4}senatepolar {c |}{col 17}{res}{space 2} .1173924{col 29}{space 2} .2526543{col 40}{space 1}    0.46{col 49}{space 3}0.642{col 57}{space 4}-.3788102{col 70}{space 3}  .613595
{txt}{space 15} {c |}
{space 10}major {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  .097996{col 29}{space 2} .0890168{col 40}{space 1}    1.10{col 49}{space 3}0.271{col 57}{space 4}-.0768295{col 70}{space 3} .2728214
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .2701145{col 29}{space 2} .0597603{col 40}{space 1}    4.52{col 49}{space 3}0.000{col 57}{space 4} .1527478{col 70}{space 3} .3874813
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .1526701{col 29}{space 2} .0614456{col 40}{space 1}    2.48{col 49}{space 3}0.013{col 57}{space 4} .0319935{col 70}{space 3} .2733467
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .2398555{col 29}{space 2}  .069713{col 40}{space 1}    3.44{col 49}{space 3}0.001{col 57}{space 4} .1029421{col 70}{space 3} .3767689
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  .303314{col 29}{space 2} .0720608{col 40}{space 1}    4.21{col 49}{space 3}0.000{col 57}{space 4} .1617896{col 70}{space 3} .4448384
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .2995326{col 29}{space 2} .0758705{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} .1505259{col 70}{space 3} .4485392
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .2767501{col 29}{space 2} .0857759{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4} .1082897{col 70}{space 3} .4452106
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .2609161{col 29}{space 2} .0567341{col 40}{space 1}    4.60{col 49}{space 3}0.000{col 57}{space 4} .1494928{col 70}{space 3} .3723395
{txt}{space 12}12  {c |}{col 17}{res}{space 2} .2375482{col 29}{space 2} .0662296{col 40}{space 1}    3.59{col 49}{space 3}0.000{col 57}{space 4} .1074761{col 70}{space 3} .3676204
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .2382089{col 29}{space 2} .0778736{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4} .0852684{col 70}{space 3} .3911494
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .3092163{col 29}{space 2}  .099957{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} .1129049{col 70}{space 3} .5055277
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .1115601{col 29}{space 2} .0571097{col 40}{space 1}    1.95{col 49}{space 3}0.051{col 57}{space 4}-.0006009{col 70}{space 3} .2237212
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .2577008{col 29}{space 2} .0508938{col 40}{space 1}    5.06{col 49}{space 3}0.000{col 57}{space 4} .1577475{col 70}{space 3} .3576541
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .2344694{col 29}{space 2} .0758782{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} .0854476{col 70}{space 3} .3834911
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .1173838{col 29}{space 2} .0622056{col 40}{space 1}    1.89{col 49}{space 3}0.060{col 57}{space 4}-.0047855{col 70}{space 3} .2395531
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .2383186{col 29}{space 2} .0625769{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .1154202{col 70}{space 3}  .361217
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .1721613{col 29}{space 2}  .052036{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} .0699649{col 70}{space 3} .2743578
{txt}{space 12}21  {c |}{col 17}{res}{space 2} .2739697{col 29}{space 2} .0625293{col 40}{space 1}    4.38{col 49}{space 3}0.000{col 57}{space 4} .1511648{col 70}{space 3} .3967746
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.436679{col 29}{space 2} .3341441{col 40}{space 1}    4.30{col 49}{space 3}0.000{col 57}{space 4}  .780434{col 70}{space 3} 2.092925
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: logit senate1_pv50 scomm_index sfloor_index approps dividedgov dividedchambers senate_maj_seat senatepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-246.08701}  
Iteration 1:{space 3}log pseudolikelihood = {res:-214.73274}  
Iteration 2:{space 3}log pseudolikelihood = {res:-208.17534}  
Iteration 3:{space 3}log pseudolikelihood = {res:-208.11728}  
Iteration 4:{space 3}log pseudolikelihood = {res:-208.11725}  
Iteration 5:{space 3}log pseudolikelihood = {res:-208.11725}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}    261.03
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-208.11725{txt}{col 49}Pseudo R2{col 67}= {res}    0.1543

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   senate1_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2} .6272564{col 29}{space 2} .2923053{col 40}{space 1}    2.15{col 49}{space 3}0.032{col 57}{space 4} .0543486{col 70}{space 3} 1.200164
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2} 1.564549{col 29}{space 2} .2994935{col 40}{space 1}    5.22{col 49}{space 3}0.000{col 57}{space 4} .9775524{col 70}{space 3} 2.151545
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.2990778{col 29}{space 2} .2155223{col 40}{space 1}   -1.39{col 49}{space 3}0.165{col 57}{space 4}-.7214938{col 70}{space 3} .1233382
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2}-1.249335{col 29}{space 2}  .346305{col 40}{space 1}   -3.61{col 49}{space 3}0.000{col 57}{space 4} -1.92808{col 70}{space 3}-.5705893
{txt}dividedchambers {c |}{col 17}{res}{space 2} -.018154{col 29}{space 2} .4995367{col 40}{space 1}   -0.04{col 49}{space 3}0.971{col 57}{space 4} -.997228{col 70}{space 3} .9609199
{txt}senate_maj_seat {c |}{col 17}{res}{space 2} .0511207{col 29}{space 2} .0775545{col 40}{space 1}    0.66{col 49}{space 3}0.510{col 57}{space 4}-.1008834{col 70}{space 3} .2031247
{txt}{space 4}senatepolar {c |}{col 17}{res}{space 2} 4.606741{col 29}{space 2} 1.752366{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} 1.172167{col 70}{space 3} 8.041316
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-7.520928{col 29}{space 2} 3.950632{col 40}{space 1}   -1.90{col 49}{space 3}0.057{col 57}{space 4}-15.26403{col 70}{space 3} .2221685
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: logit senate1_pv90 scomm_index sfloor_index approps dividedgov dividedchambers senate_maj_seat senatepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-70.666577}  
Iteration 1:{space 3}log pseudolikelihood = {res:-54.524068}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.032086}  
Iteration 3:{space 3}log pseudolikelihood = {res:-47.625749}  
Iteration 4:{space 3}log pseudolikelihood = {res:-47.608445}  
Iteration 5:{space 3}log pseudolikelihood = {res:-47.608398}  
Iteration 6:{space 3}log pseudolikelihood = {res:-47.608398}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}    118.57
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-47.608398{txt}{col 49}Pseudo R2{col 67}= {res}    0.3263

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   senate1_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2} 1.126568{col 29}{space 2} .5738284{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4} .0018853{col 70}{space 3} 2.251251
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2} 1.160254{col 29}{space 2} .8079036{col 40}{space 1}    1.44{col 49}{space 3}0.151{col 57}{space 4}-.4232083{col 70}{space 3} 2.743716
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-1.126216{col 29}{space 2} .7564443{col 40}{space 1}   -1.49{col 49}{space 3}0.137{col 57}{space 4}-2.608819{col 70}{space 3} .3563879
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2}-2.947612{col 29}{space 2} 1.764721{col 40}{space 1}   -1.67{col 49}{space 3}0.095{col 57}{space 4}  -6.4064{col 70}{space 3} .5111769
{txt}dividedchambers {c |}{col 17}{res}{space 2}-.7742054{col 29}{space 2} .6174193{col 40}{space 1}   -1.25{col 49}{space 3}0.210{col 57}{space 4}-1.984325{col 70}{space 3} .4359143
{txt}senate_maj_seat {c |}{col 17}{res}{space 2} .1166591{col 29}{space 2} .2193896{col 40}{space 1}    0.53{col 49}{space 3}0.595{col 57}{space 4}-.3133367{col 70}{space 3} .5466548
{txt}{space 4}senatepolar {c |}{col 17}{res}{space 2} 14.17069{col 29}{space 2} 6.350695{col 40}{space 1}    2.23{col 49}{space 3}0.026{col 57}{space 4} 1.723559{col 70}{space 3} 26.61783
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -19.5594{col 29}{space 2} 11.43618{col 40}{space 1}   -1.71{col 49}{space 3}0.087{col 57}{space 4}-41.97389{col 70}{space 3} 2.855093
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: reg senatef_percmin allcomm_index allfloor_index approps dividedgov dividedchambers senate_maj_seat senatepolar i.major

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(25, 595)      = {res}     7.94
{txt}       Model {c |} {res} 9.08916663        25  .363566665   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 27.2474768       595  .045794079   {txt}R-squared       ={res}    0.2501
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2186
{txt}       Total {c |} {res} 36.3366434       620  .058607489   {txt}Root MSE        =   {res}   .214

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .0045412{col 29}{space 2}   .02942{col 40}{space 1}    0.15{col 49}{space 3}0.877{col 57}{space 4}-.0532385{col 70}{space 3} .0623208
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2}-.1935278{col 29}{space 2} .0534822{col 40}{space 1}   -3.62{col 49}{space 3}0.000{col 57}{space 4}-.2985647{col 70}{space 3}-.0884909
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0107044{col 29}{space 2} .0229954{col 40}{space 1}   -0.47{col 49}{space 3}0.642{col 57}{space 4}-.0558664{col 70}{space 3} .0344576
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2} .1270177{col 29}{space 2} .0217185{col 40}{space 1}    5.85{col 49}{space 3}0.000{col 57}{space 4} .0843636{col 70}{space 3} .1696719
{txt}dividedchambers {c |}{col 17}{res}{space 2}-.0396151{col 29}{space 2} .0273622{col 40}{space 1}   -1.45{col 49}{space 3}0.148{col 57}{space 4}-.0933532{col 70}{space 3} .0141231
{txt}senate_maj_seat {c |}{col 17}{res}{space 2}-.0155415{col 29}{space 2} .0047347{col 40}{space 1}   -3.28{col 49}{space 3}0.001{col 57}{space 4}-.0248402{col 70}{space 3}-.0062428
{txt}{space 4}senatepolar {c |}{col 17}{res}{space 2}-.4190929{col 29}{space 2} .2598218{col 40}{space 1}   -1.61{col 49}{space 3}0.107{col 57}{space 4}-.9293723{col 70}{space 3} .0911865
{txt}{space 15} {c |}
{space 10}major {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .1206389{col 29}{space 2} .0881628{col 40}{space 1}    1.37{col 49}{space 3}0.172{col 57}{space 4}-.0525092{col 70}{space 3}  .293787
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .2660243{col 29}{space 2} .0593945{col 40}{space 1}    4.48{col 49}{space 3}0.000{col 57}{space 4}  .149376{col 70}{space 3} .3826726
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .1727881{col 29}{space 2} .0609406{col 40}{space 1}    2.84{col 49}{space 3}0.005{col 57}{space 4} .0531033{col 70}{space 3} .2924729
{txt}{space 13}5  {c |}{col 17}{res}{space 2}   .21702{col 29}{space 2} .0690999{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .0813106{col 70}{space 3} .3527293
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .2746183{col 29}{space 2} .0715603{col 40}{space 1}    3.84{col 49}{space 3}0.000{col 57}{space 4} .1340769{col 70}{space 3} .4151598
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .3174904{col 29}{space 2} .0752202{col 40}{space 1}    4.22{col 49}{space 3}0.000{col 57}{space 4} .1697611{col 70}{space 3} .4652197
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .2907186{col 29}{space 2} .0850261{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} .1237308{col 70}{space 3} .4577063
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .2629503{col 29}{space 2} .0562384{col 40}{space 1}    4.68{col 49}{space 3}0.000{col 57}{space 4} .1525004{col 70}{space 3} .3734002
{txt}{space 12}12  {c |}{col 17}{res}{space 2} .2379068{col 29}{space 2} .0656857{col 40}{space 1}    3.62{col 49}{space 3}0.000{col 57}{space 4} .1089029{col 70}{space 3} .3669108
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .2031834{col 29}{space 2} .0773327{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} .0513051{col 70}{space 3} .3550617
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .2603394{col 29}{space 2} .0990524{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} .0658046{col 70}{space 3} .4548742
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .1609446{col 29}{space 2} .0565414{col 40}{space 1}    2.85{col 49}{space 3}0.005{col 57}{space 4} .0498997{col 70}{space 3} .2719895
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .2478072{col 29}{space 2}   .05067{col 40}{space 1}    4.89{col 49}{space 3}0.000{col 57}{space 4} .1482934{col 70}{space 3} .3473211
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .2671062{col 29}{space 2} .0750776{col 40}{space 1}    3.56{col 49}{space 3}0.000{col 57}{space 4} .1196568{col 70}{space 3} .4145555
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .1515538{col 29}{space 2} .0613973{col 40}{space 1}    2.47{col 49}{space 3}0.014{col 57}{space 4}  .030972{col 70}{space 3} .2721355
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .2515687{col 29}{space 2} .0622503{col 40}{space 1}    4.04{col 49}{space 3}0.000{col 57}{space 4} .1293117{col 70}{space 3} .3738258
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .1966409{col 29}{space 2} .0515512{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .0953966{col 70}{space 3} .2978853
{txt}{space 12}21  {c |}{col 17}{res}{space 2}  .261808{col 29}{space 2} .0619701{col 40}{space 1}    4.22{col 49}{space 3}0.000{col 57}{space 4} .1401013{col 70}{space 3} .3835147
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.743528{col 29}{space 2} .3335149{col 40}{space 1}    5.23{col 49}{space 3}0.000{col 57}{space 4} 1.088519{col 70}{space 3} 2.398538
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. eststo: logit senatef_pv50 allcomm_index allfloor_index approps dividedgov dividedchambers senate_maj_seat senatepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-238.55464}  
Iteration 1:{space 3}log pseudolikelihood = {res:-205.12784}  
Iteration 2:{space 3}log pseudolikelihood = {res:-196.63007}  
Iteration 3:{space 3}log pseudolikelihood = {res:-196.51348}  
Iteration 4:{space 3}log pseudolikelihood = {res:-196.51332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-196.51332}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}    375.18
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-196.51332{txt}{col 49}Pseudo R2{col 67}= {res}    0.1762

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   senatef_pv50{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .3449013{col 29}{space 2} .2851946{col 40}{space 1}    1.21{col 49}{space 3}0.227{col 57}{space 4}-.2140699{col 70}{space 3} .9038725
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2} 2.130857{col 29}{space 2} .4931838{col 40}{space 1}    4.32{col 49}{space 3}0.000{col 57}{space 4} 1.164235{col 70}{space 3}  3.09748
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.1189523{col 29}{space 2} .2109935{col 40}{space 1}   -0.56{col 49}{space 3}0.573{col 57}{space 4}-.5324919{col 70}{space 3} .2945873
{txt}{space 5}dividedgov {c |}{col 17}{res}{space 2}-1.389781{col 29}{space 2} .3882802{col 40}{space 1}   -3.58{col 49}{space 3}0.000{col 57}{space 4}-2.150796{col 70}{space 3}-.6287655
{txt}dividedchambers {c |}{col 17}{res}{space 2}   .06853{col 29}{space 2}  .359484{col 40}{space 1}    0.19{col 49}{space 3}0.849{col 57}{space 4}-.6360458{col 70}{space 3} .7731057
{txt}senate_maj_seat {c |}{col 17}{res}{space 2} .0446709{col 29}{space 2} .0557735{col 40}{space 1}    0.80{col 49}{space 3}0.423{col 57}{space 4}-.0646432{col 70}{space 3}  .153985
{txt}{space 4}senatepolar {c |}{col 17}{res}{space 2} 5.274508{col 29}{space 2} 2.531746{col 40}{space 1}    2.08{col 49}{space 3}0.037{col 57}{space 4} .3123776{col 70}{space 3} 10.23664
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-7.938208{col 29}{space 2}  3.45844{col 40}{space 1}   -2.30{col 49}{space 3}0.022{col 57}{space 4}-14.71663{col 70}{space 3} -1.15979
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}. eststo: logit senatef_pv90 allcomm_index allfloor_index approps dividedchambers senate_maj_seat senatepolar, cluster(major)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-66.932823}  
Iteration 1:{space 3}log pseudolikelihood = {res:-52.946898}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.164976}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.078151}  
Iteration 4:{space 3}log pseudolikelihood = {res: -48.07729}  
Iteration 5:{space 3}log pseudolikelihood = {res: -48.07729}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}    370.32
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -48.07729{txt}{col 49}Pseudo R2{col 67}= {res}    0.2817

{txt}{ralign 81:(Std. Err. adjusted for {res:19} clusters in major)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   senatef_pv90{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .9826575{col 29}{space 2} .5547433{col 40}{space 1}    1.77{col 49}{space 3}0.076{col 57}{space 4}-.1046194{col 70}{space 3} 2.069934
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2} 1.431938{col 29}{space 2}  1.27699{col 40}{space 1}    1.12{col 49}{space 3}0.262{col 57}{space 4}-1.070916{col 70}{space 3} 3.934793
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-1.972215{col 29}{space 2} 1.361479{col 40}{space 1}   -1.45{col 49}{space 3}0.147{col 57}{space 4}-4.640665{col 70}{space 3} .6962353
{txt}dividedchambers {c |}{col 17}{res}{space 2}-.8650857{col 29}{space 2} .2459649{col 40}{space 1}   -3.52{col 49}{space 3}0.000{col 57}{space 4}-1.347168{col 70}{space 3}-.3830035
{txt}senate_maj_seat {c |}{col 17}{res}{space 2} .3994041{col 29}{space 2} .2264004{col 40}{space 1}    1.76{col 49}{space 3}0.078{col 57}{space 4}-.0443325{col 70}{space 3} .8431408
{txt}{space 4}senatepolar {c |}{col 17}{res}{space 2} 9.391325{col 29}{space 2} 5.859231{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4}-2.092558{col 70}{space 3} 20.87521
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-32.87108{col 29}{space 2} 16.76103{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-65.72209{col 70}{space 3}-.0200603
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}scomm_index {res}      -0.0406          0.627*         1.127*                                              {txt}
            {res} {ralign 12:{txt:(}0.0238{txt:)}}   {ralign 12:{txt:(}0.292{txt:)}}   {ralign 12:{txt:(}0.574{txt:)}}                                               {txt}

{txt}sfloor_index{res}       -0.186**        1.565**        1.160                                               {txt}
            {res} {ralign 12:{txt:(}0.0402{txt:)}}   {ralign 12:{txt:(}0.299{txt:)}}   {ralign 12:{txt:(}0.808{txt:)}}                                               {txt}

{txt}approps     {res}     -0.00765         -0.299         -1.126        -0.0107         -0.119         -1.972  {txt}
            {res} {ralign 12:{txt:(}0.0230{txt:)}}   {ralign 12:{txt:(}0.216{txt:)}}   {ralign 12:{txt:(}0.756{txt:)}}   {ralign 12:{txt:(}0.0230{txt:)}}   {ralign 12:{txt:(}0.211{txt:)}}   {ralign 12:{txt:(}1.361{txt:)}}  {txt}

{txt}dividedgov  {res}        0.113**       -1.249**       -2.948          0.127**       -1.390**               {txt}
            {res} {ralign 12:{txt:(}0.0219{txt:)}}   {ralign 12:{txt:(}0.346{txt:)}}   {ralign 12:{txt:(}1.765{txt:)}}   {ralign 12:{txt:(}0.0217{txt:)}}   {ralign 12:{txt:(}0.388{txt:)}}                 {txt}

{txt}dividedcha~s{res}      -0.0419        -0.0182         -0.774        -0.0396         0.0685         -0.865**{txt}
            {res} {ralign 12:{txt:(}0.0276{txt:)}}   {ralign 12:{txt:(}0.500{txt:)}}   {ralign 12:{txt:(}0.617{txt:)}}   {ralign 12:{txt:(}0.0274{txt:)}}   {ralign 12:{txt:(}0.359{txt:)}}   {ralign 12:{txt:(}0.246{txt:)}}  {txt}

{txt}senate_maj~t{res}      -0.0165**       0.0511          0.117        -0.0155**       0.0447          0.399  {txt}
            {res} {ralign 12:{txt:(}0.00477{txt:)}}   {ralign 12:{txt:(}0.0776{txt:)}}   {ralign 12:{txt:(}0.219{txt:)}}   {ralign 12:{txt:(}0.00473{txt:)}}   {ralign 12:{txt:(}0.0558{txt:)}}   {ralign 12:{txt:(}0.226{txt:)}}  {txt}

{txt}senatepolar {res}        0.117          4.607**        14.17*        -0.419          5.275*         9.391  {txt}
            {res} {ralign 12:{txt:(}0.253{txt:)}}   {ralign 12:{txt:(}1.752{txt:)}}   {ralign 12:{txt:(}6.351{txt:)}}   {ralign 12:{txt:(}0.260{txt:)}}   {ralign 12:{txt:(}2.532{txt:)}}   {ralign 12:{txt:(}5.859{txt:)}}  {txt}

{txt}1.major     {res}            0                                            0                                {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                 {ralign 12:{txt:(}.{txt:)}}                                {txt}

{txt}2.major     {res}       0.0980                                        0.121                                {txt}
            {res} {ralign 12:{txt:(}0.0890{txt:)}}                                 {ralign 12:{txt:(}0.0882{txt:)}}                                {txt}

{txt}3.major     {res}        0.270**                                      0.266**                              {txt}
            {res} {ralign 12:{txt:(}0.0598{txt:)}}                                 {ralign 12:{txt:(}0.0594{txt:)}}                                {txt}

{txt}4.major     {res}        0.153*                                       0.173**                              {txt}
            {res} {ralign 12:{txt:(}0.0614{txt:)}}                                 {ralign 12:{txt:(}0.0609{txt:)}}                                {txt}

{txt}5.major     {res}        0.240**                                      0.217**                              {txt}
            {res} {ralign 12:{txt:(}0.0697{txt:)}}                                 {ralign 12:{txt:(}0.0691{txt:)}}                                {txt}

{txt}6.major     {res}        0.303**                                      0.275**                              {txt}
            {res} {ralign 12:{txt:(}0.0721{txt:)}}                                 {ralign 12:{txt:(}0.0716{txt:)}}                                {txt}

{txt}7.major     {res}        0.300**                                      0.317**                              {txt}
            {res} {ralign 12:{txt:(}0.0759{txt:)}}                                 {ralign 12:{txt:(}0.0752{txt:)}}                                {txt}

{txt}8.major     {res}        0.277**                                      0.291**                              {txt}
            {res} {ralign 12:{txt:(}0.0858{txt:)}}                                 {ralign 12:{txt:(}0.0850{txt:)}}                                {txt}

{txt}10.major    {res}        0.261**                                      0.263**                              {txt}
            {res} {ralign 12:{txt:(}0.0567{txt:)}}                                 {ralign 12:{txt:(}0.0562{txt:)}}                                {txt}

{txt}12.major    {res}        0.238**                                      0.238**                              {txt}
            {res} {ralign 12:{txt:(}0.0662{txt:)}}                                 {ralign 12:{txt:(}0.0657{txt:)}}                                {txt}

{txt}13.major    {res}        0.238**                                      0.203**                              {txt}
            {res} {ralign 12:{txt:(}0.0779{txt:)}}                                 {ralign 12:{txt:(}0.0773{txt:)}}                                {txt}

{txt}14.major    {res}        0.309**                                      0.260**                              {txt}
            {res} {ralign 12:{txt:(}0.1000{txt:)}}                                 {ralign 12:{txt:(}0.0991{txt:)}}                                {txt}

{txt}15.major    {res}        0.112                                        0.161**                              {txt}
            {res} {ralign 12:{txt:(}0.0571{txt:)}}                                 {ralign 12:{txt:(}0.0565{txt:)}}                                {txt}

{txt}16.major    {res}        0.258**                                      0.248**                              {txt}
            {res} {ralign 12:{txt:(}0.0509{txt:)}}                                 {ralign 12:{txt:(}0.0507{txt:)}}                                {txt}

{txt}17.major    {res}        0.234**                                      0.267**                              {txt}
            {res} {ralign 12:{txt:(}0.0759{txt:)}}                                 {ralign 12:{txt:(}0.0751{txt:)}}                                {txt}

{txt}18.major    {res}        0.117                                        0.152*                               {txt}
            {res} {ralign 12:{txt:(}0.0622{txt:)}}                                 {ralign 12:{txt:(}0.0614{txt:)}}                                {txt}

{txt}19.major    {res}        0.238**                                      0.252**                              {txt}
            {res} {ralign 12:{txt:(}0.0626{txt:)}}                                 {ralign 12:{txt:(}0.0623{txt:)}}                                {txt}

{txt}20.major    {res}        0.172**                                      0.197**                              {txt}
            {res} {ralign 12:{txt:(}0.0520{txt:)}}                                 {ralign 12:{txt:(}0.0516{txt:)}}                                {txt}

{txt}21.major    {res}        0.274**                                      0.262**                              {txt}
            {res} {ralign 12:{txt:(}0.0625{txt:)}}                                 {ralign 12:{txt:(}0.0620{txt:)}}                                {txt}

{txt}allcomm_in~x{res}                                                   0.00454          0.345          0.983  {txt}
            {res}                                              {ralign 12:{txt:(}0.0294{txt:)}}   {ralign 12:{txt:(}0.285{txt:)}}   {ralign 12:{txt:(}0.555{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.194**        2.131**        1.432  {txt}
            {res}                                              {ralign 12:{txt:(}0.0535{txt:)}}   {ralign 12:{txt:(}0.493{txt:)}}   {ralign 12:{txt:(}1.277{txt:)}}  {txt}

{txt}_cons       {res}        1.437**       -7.521         -19.56          1.744**       -7.938*        -32.87* {txt}
            {res} {ralign 12:{txt:(}0.334{txt:)}}   {ralign 12:{txt:(}3.951{txt:)}}   {ralign 12:{txt:(}11.44{txt:)}}   {ralign 12:{txt:(}0.334{txt:)}}   {ralign 12:{txt:(}3.458{txt:)}}   {ralign 12:{txt:(}16.76{txt:)}}  {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. * Table A14
. eststo: mixed house1_percmin hcomm_index hfloor_index approps || _all: R.cong
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-170.72299}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-170.72299}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 69}{res}         1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    60.19
{txt}Log likelihood = {res}-170.72299{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}house1_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hcomm_index {c |}{col 16}{res}{space 2} .0985453{col 28}{space 2} .0374184{col 39}{space 1}    2.63{col 48}{space 3}0.008{col 56}{space 4} .0252066{col 69}{space 3}  .171884
{txt}{space 2}hfloor_index {c |}{col 16}{res}{space 2} -.325462{col 28}{space 2} .0484833{col 39}{space 1}   -6.71{col 48}{space 3}0.000{col 56}{space 4}-.4204875{col 69}{space 3}-.2304364
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.1253765{col 28}{space 2} .0270556{col 39}{space 1}   -4.63{col 48}{space 3}0.000{col 56}{space 4}-.1784045{col 69}{space 3}-.0723485
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .7994911{col 28}{space 2} .0327225{col 39}{space 1}   24.43{col 48}{space 3}0.000{col 56}{space 4} .7353562{col 69}{space 3} .8636259
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0082168{col 44} .0038585{col 58} .0032733{col 70} .0206261
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0979049{col 44} .0056225{col 58} .0874825{col 70}  .109569
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}28.95{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}({res}est1{txt} stored)

{com}. eststo: meqrlogit house1_pv50 hcomm_index hfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-368.02405}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-365.16281}  (backed up)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-363.87739}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-363.87739}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-363.80563}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-363.80379}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-363.80379}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    30.33
{txt}Log likelihood = {res}-363.80379{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2}-.0573992{col 26}{space 2}  .261421{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.5697749{col 67}{space 3} .4549765
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.822956{col 26}{space 2} .3459672{col 37}{space 1}    5.27{col 46}{space 3}0.000{col 54}{space 4} 1.144873{col 67}{space 3} 2.501039
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3689603{col 26}{space 2} .1966459{col 37}{space 1}    1.88{col 46}{space 3}0.061{col 54}{space 4}-.0164587{col 67}{space 3} .7543792
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.452552{col 26}{space 2} .2093087{col 37}{space 1}   -6.94{col 46}{space 3}0.000{col 54}{space 4}-1.862789{col 67}{space 3}-1.042314
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .2042524{col 44} .1185443{col 58} .0654855{col 70} .6370723
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}11.81{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0003

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit house1_pv90 hcomm_index hfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-157.09401}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-154.09663}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-154.09663}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-154.09663}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-153.71748}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-153.69468}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-153.69454}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-153.69454}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    17.24
{txt}Log likelihood = {res}-153.69454{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0006

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .1664942{col 26}{space 2} .4117614{col 37}{space 1}    0.40{col 46}{space 3}0.686{col 54}{space 4}-.6405433{col 67}{space 3} .9735316
{txt}hfloor_index {c |}{col 14}{res}{space 2} 2.163763{col 26}{space 2} .5651517{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} 1.056086{col 67}{space 3} 3.271439
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3651626{col 26}{space 2} .3296574{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4} -.280954{col 67}{space 3} 1.011279
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.529793{col 26}{space 2}  .327862{col 37}{space 1}  -10.77{col 46}{space 3}0.000{col 54}{space 4}-4.172391{col 67}{space 3}-2.887195
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0747204{col 44} .1885018{col 58} .0005322{col 70}   10.491
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}0.20{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.3259

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed housef_percmin allcomm_index allfloor_index approps || _all: R.cong
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.794463}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-73.794463}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 69}{res}         1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    24.64
{txt}Log likelihood = {res}-73.794463{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0716509{col 28}{space 2} .0357837{col 39}{space 1}    2.00{col 48}{space 3}0.045{col 56}{space 4} .0015162{col 69}{space 3} .1417856
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.3247962{col 28}{space 2}  .065623{col 39}{space 1}   -4.95{col 48}{space 3}0.000{col 56}{space 4} -.453415{col 69}{space 3}-.1961775
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0337968{col 28}{space 2} .0237577{col 39}{space 1}   -1.42{col 48}{space 3}0.155{col 56}{space 4}-.0803609{col 69}{space 3} .0127674
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8512177{col 28}{space 2} .0386134{col 39}{space 1}   22.04{col 48}{space 3}0.000{col 56}{space 4} .7755368{col 69}{space 3} .9268987
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  .014189{col 44} .0058641{col 58} .0063119{col 70} .0318962
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0704012{col 44} .0040448{col 58} .0629036{col 70} .0787924
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}75.03{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}({res}est4{txt} stored)

{com}. eststo: meqrlogit housef_pv50 allcomm_index allfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-314.47392}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-312.78037}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-312.34264}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-312.34264}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-312.20175}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-312.18967}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-312.18963}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-312.18963}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    20.56
{txt}Log likelihood = {res}-312.18963{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.0314854{col 28}{space 2} .3145274{col 39}{space 1}   -0.10{col 48}{space 3}0.920{col 56}{space 4}-.6479476{col 69}{space 3} .5849769
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.281028{col 28}{space 2} .5675628{col 39}{space 1}    4.02{col 48}{space 3}0.000{col 56}{space 4} 1.168626{col 69}{space 3} 3.393431
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0918912{col 28}{space 2} .2279638{col 39}{space 1}   -0.40{col 48}{space 3}0.687{col 56}{space 4}-.5386919{col 69}{space 3} .3549096
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.833126{col 28}{space 2}  .267316{col 39}{space 1}   -6.86{col 48}{space 3}0.000{col 56}{space 4}-2.357056{col 69}{space 3}-1.309197
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .3600113{col 44} .1878372{col 58} .1294788{col 70} 1.000999
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}19.94{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit housef_pv90 allcomm_index allfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.845856}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-72.251658}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-72.251658}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-72.251658}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-70.601958}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-70.456217}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-70.453792}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-70.453787}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}     7.45
{txt}Log likelihood = {res}-70.453787{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0590

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.1416091{col 28}{space 2} .6393604{col 39}{space 1}   -0.22{col 48}{space 3}0.825{col 56}{space 4}-1.394732{col 69}{space 3} 1.111514
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.707579{col 28}{space 2} 1.118754{col 39}{space 1}    2.42{col 48}{space 3}0.016{col 56}{space 4} .5148602{col 69}{space 3} 4.900297
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.5539904{col 28}{space 2} .6207883{col 39}{space 1}   -0.89{col 48}{space 3}0.372{col 56}{space 4}-1.770713{col 69}{space 3} .6627324
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-5.677177{col 28}{space 2} 1.171799{col 39}{space 1}   -4.84{col 48}{space 3}0.000{col 56}{space 4} -7.97386{col 69}{space 3}-3.380493
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 4.079627{col 44} 3.939571{col 58} .6146685{col 70} 27.07696
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}17.06{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}hcomm_index {res}       0.0985**      -0.0574          0.166                                               {txt}
            {res} {ralign 12:{txt:(}0.0374{txt:)}}   {ralign 12:{txt:(}0.261{txt:)}}   {ralign 12:{txt:(}0.412{txt:)}}                                               {txt}

{txt}hfloor_index{res}       -0.325**        1.823**        2.164**                                             {txt}
            {res} {ralign 12:{txt:(}0.0485{txt:)}}   {ralign 12:{txt:(}0.346{txt:)}}   {ralign 12:{txt:(}0.565{txt:)}}                                               {txt}

{txt}approps     {res}       -0.125**        0.369          0.365        -0.0338        -0.0919         -0.554  {txt}
            {res} {ralign 12:{txt:(}0.0271{txt:)}}   {ralign 12:{txt:(}0.197{txt:)}}   {ralign 12:{txt:(}0.330{txt:)}}   {ralign 12:{txt:(}0.0238{txt:)}}   {ralign 12:{txt:(}0.228{txt:)}}   {ralign 12:{txt:(}0.621{txt:)}}  {txt}

{txt}allcomm_in~x{res}                                                    0.0717*       -0.0315         -0.142  {txt}
            {res}                                              {ralign 12:{txt:(}0.0358{txt:)}}   {ralign 12:{txt:(}0.315{txt:)}}   {ralign 12:{txt:(}0.639{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.325**        2.281**        2.708* {txt}
            {res}                                              {ralign 12:{txt:(}0.0656{txt:)}}   {ralign 12:{txt:(}0.568{txt:)}}   {ralign 12:{txt:(}1.119{txt:)}}  {txt}

{txt}_cons       {res}        0.799**       -1.453**       -3.530**        0.851**       -1.833**       -5.677**{txt}
            {res} {ralign 12:{txt:(}0.0327{txt:)}}   {ralign 12:{txt:(}0.209{txt:)}}   {ralign 12:{txt:(}0.328{txt:)}}   {ralign 12:{txt:(}0.0386{txt:)}}   {ralign 12:{txt:(}0.267{txt:)}}   {ralign 12:{txt:(}1.172{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.401**       -0.794**       -1.297         -2.128**       -0.511          0.703  {txt}
            {res} {ralign 12:{txt:(}0.235{txt:)}}   {ralign 12:{txt:(}0.290{txt:)}}   {ralign 12:{txt:(}1.261{txt:)}}   {ralign 12:{txt:(}0.207{txt:)}}   {ralign 12:{txt:(}0.261{txt:)}}   {ralign 12:{txt:(}0.483{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.162**                                     -1.327**                              {txt}
            {res} {ralign 12:{txt:(}0.0287{txt:)}}                                 {ralign 12:{txt:(}0.0287{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A15
. eststo: mixed senate1_percmin scomm_index sfloor_index approps || _all: R.cong
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 45.338616}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 45.338616}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 69}{res}         1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    22.75
{txt}Log likelihood = {res} 45.338616{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}scomm_index {c |}{col 17}{res}{space 2}-.0364804{col 29}{space 2} .0234384{col 40}{space 1}   -1.56{col 49}{space 3}0.120{col 57}{space 4}-.0824188{col 70}{space 3}  .009458
{txt}{space 3}sfloor_index {c |}{col 17}{res}{space 2}-.1798455{col 29}{space 2} .0405549{col 40}{space 1}   -4.43{col 49}{space 3}0.000{col 57}{space 4}-.2593316{col 70}{space 3}-.1003594
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0113057{col 29}{space 2} .0194676{col 40}{space 1}   -0.58{col 49}{space 3}0.561{col 57}{space 4}-.0494615{col 70}{space 3} .0268502
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8922762{col 29}{space 2} .0279628{col 40}{space 1}   31.91{col 49}{space 3}0.000{col 57}{space 4} .8374702{col 70}{space 3} .9470822
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .0078734{col 44} .0034452{col 58} .0033396{col 70}  .018562
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  .048181{col 44} .0027704{col 58}  .043046{col 70} .0539286
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}51.08{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}({res}est1{txt} stored)

{com}. eststo: meqrlogit senate1_pv50 scomm_index sfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-219.20631}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-217.91529}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-217.87934}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-217.87934}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-217.74513}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-217.74477}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-217.74477}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    23.08
{txt}Log likelihood = {res}-217.74477{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} .6657817{col 26}{space 2} .2997735{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0782364{col 67}{space 3} 1.253327
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.778743{col 26}{space 2} .4698953{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .8577656{col 67}{space 3} 2.699721
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.3272668{col 26}{space 2} .2903884{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.8964176{col 67}{space 3}  .241884
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -2.50459{col 26}{space 2} .3007361{col 37}{space 1}   -8.33{col 46}{space 3}0.000{col 54}{space 4}-3.094022{col 67}{space 3}-1.915158
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .5166512{col 44}  .309837{col 58} .1594886{col 70} 1.673652
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}14.18{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0001

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est2{txt} stored)

{com}. eststo: meqrlogit senate1_pv90 scomm_index sfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-56.240934}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-54.835454}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-54.821896}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-54.821896}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -53.84446}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-53.790138}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-53.790084}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-53.790084}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}     6.97
{txt}Log likelihood = {res}-53.790084{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0729

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} 1.183146{col 26}{space 2}  .674961{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.1397536{col 67}{space 3} 2.506045
{txt}sfloor_index {c |}{col 14}{res}{space 2} 1.331735{col 26}{space 2} .9028534{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.4378253{col 67}{space 3} 3.101295
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-1.174155{col 26}{space 2} .8163293{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-2.774131{col 67}{space 3} .4258214
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.514158{col 26}{space 2} .9861642{col 37}{space 1}   -5.59{col 46}{space 3}0.000{col 54}{space 4}-7.447004{col 67}{space 3}-3.581311
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 2.834406{col 44} 2.668857{col 58} .4476889{col 70} 17.94517
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}12.22{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0002

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est3{txt} stored)

{com}. eststo: mixed senatef_percmin allcomm_index allfloor_index approps || _all: R.cong
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 62.333323}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 62.333323}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 69}{res}         1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    19.81
{txt}Log likelihood = {res} 62.333323{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0002

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_percmin{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}allcomm_index {c |}{col 17}{res}{space 2} .0071325{col 29}{space 2} .0287352{col 40}{space 1}    0.25{col 49}{space 3}0.804{col 57}{space 4}-.0491875{col 70}{space 3} .0634526
{txt}{space 1}allfloor_index {c |}{col 17}{res}{space 2} -.221184{col 29}{space 2} .0527129{col 40}{space 1}   -4.20{col 49}{space 3}0.000{col 57}{space 4}-.3244995{col 70}{space 3}-.1178686
{txt}{space 8}approps {c |}{col 17}{res}{space 2}-.0100222{col 29}{space 2} .0190777{col 40}{space 1}   -0.53{col 49}{space 3}0.599{col 57}{space 4}-.0474138{col 70}{space 3} .0273694
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .9136855{col 29}{space 2} .0312266{col 40}{space 1}   29.26{col 49}{space 3}0.000{col 57}{space 4} .8524825{col 70}{space 3} .9748886
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33}  .009351{col 44}  .003952{col 58} .0040843{col 70} .0214091
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0453916{col 44} .0026095{col 58} .0405546{col 70} .0508054
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}66.93{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}({res}est4{txt} stored)

{com}. eststo: meqrlogit senatef_pv50 allcomm_index allfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-206.31088}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-205.35186}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-205.35186}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-205.35186}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-205.10182}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-205.09725}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-205.09724}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}    19.74
{txt}Log likelihood = {res}-205.09724{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0002

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .3703796{col 28}{space 2} .3766347{col 39}{space 1}    0.98{col 48}{space 3}0.325{col 56}{space 4}-.3678109{col 69}{space 3}  1.10857
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.442702{col 28}{space 2} .6802873{col 39}{space 1}    3.59{col 48}{space 3}0.000{col 56}{space 4} 1.109363{col 69}{space 3} 3.776041
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.1672676{col 28}{space 2} .2995111{col 39}{space 1}   -0.56{col 48}{space 3}0.577{col 56}{space 4}-.7542986{col 69}{space 3} .4197633
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-2.969056{col 28}{space 2} .3712591{col 39}{space 1}   -8.00{col 48}{space 3}0.000{col 56}{space 4}-3.696711{col 69}{space 3}-2.241402
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} .7768654{col 44} .4658891{col 58} .2398154{col 70} 2.516602
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}18.72{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est5{txt} stored)

{com}. eststo: meqrlogit senatef_pv90 allcomm_index allfloor_index approps || _all: R.cong

{txt}{p 0 6 2}note: factor variables specified; 
option {help xtmelogit##laplace:laplace} 
assumed{p_end}
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -52.08672}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -50.55602}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-50.533081}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-50.533081}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-49.085606}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-48.838601}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -48.82875}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-48.828708}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-48.828708}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       621
{txt}Group variable: {res}_all{col 49}{txt}Number of groups{col 67}={col 70}{res}        1

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       621
{txt}{col 63}avg{col 67}={col 69}{res}     621.0
{txt}{col 63}max{col 67}={col 69}{res}       621

{txt}Integration points = {res}  1{col 49}{txt}Wald chi2({res}3{txt}){col 67}={col 70}{res}     5.51
{txt}Log likelihood = {res}-48.828708{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1381

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}  .794863{col 28}{space 2} .7519011{col 39}{space 1}    1.06{col 48}{space 3}0.290{col 56}{space 4}-.6788361{col 69}{space 3} 2.268562
{txt}allfloor_index {c |}{col 16}{res}{space 2} 1.336567{col 28}{space 2} 1.352866{col 39}{space 1}    0.99{col 48}{space 3}0.323{col 56}{space 4}-1.315003{col 69}{space 3} 3.988136
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.928165{col 28}{space 2} 1.080266{col 39}{space 1}   -1.78{col 48}{space 3}0.074{col 56}{space 4}-4.045448{col 69}{space 3} .1891174
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-6.130085{col 28}{space 2} 1.606867{col 39}{space 1}   -3.81{col 48}{space 3}0.000{col 56}{space 4}-9.279486{col 69}{space 3}-2.980684
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 18}var(R.cong){col 30}{c |}{res}{col 33} 5.215394{col 44} 6.501853{col 58} .4530263{col 70} 60.04141
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}13.62{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0001

{txt}{p 0 6 4}Note: Log-likelihood calculations are 
based on the 
{help j_melaplace##|_new:Laplacian approximation}.
{p_end}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}scomm_index {res}      -0.0365          0.666*         1.183                                               {txt}
            {res} {ralign 12:{txt:(}0.0234{txt:)}}   {ralign 12:{txt:(}0.300{txt:)}}   {ralign 12:{txt:(}0.675{txt:)}}                                               {txt}

{txt}sfloor_index{res}       -0.180**        1.779**        1.332                                               {txt}
            {res} {ralign 12:{txt:(}0.0406{txt:)}}   {ralign 12:{txt:(}0.470{txt:)}}   {ralign 12:{txt:(}0.903{txt:)}}                                               {txt}

{txt}approps     {res}      -0.0113         -0.327         -1.174        -0.0100         -0.167         -1.928  {txt}
            {res} {ralign 12:{txt:(}0.0195{txt:)}}   {ralign 12:{txt:(}0.290{txt:)}}   {ralign 12:{txt:(}0.816{txt:)}}   {ralign 12:{txt:(}0.0191{txt:)}}   {ralign 12:{txt:(}0.300{txt:)}}   {ralign 12:{txt:(}1.080{txt:)}}  {txt}

{txt}allcomm_in~x{res}                                                   0.00713          0.370          0.795  {txt}
            {res}                                              {ralign 12:{txt:(}0.0287{txt:)}}   {ralign 12:{txt:(}0.377{txt:)}}   {ralign 12:{txt:(}0.752{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.221**        2.443**        1.337  {txt}
            {res}                                              {ralign 12:{txt:(}0.0527{txt:)}}   {ralign 12:{txt:(}0.680{txt:)}}   {ralign 12:{txt:(}1.353{txt:)}}  {txt}

{txt}_cons       {res}        0.892**       -2.505**       -5.514**        0.914**       -2.969**       -6.130**{txt}
            {res} {ralign 12:{txt:(}0.0280{txt:)}}   {ralign 12:{txt:(}0.301{txt:)}}   {ralign 12:{txt:(}0.986{txt:)}}   {ralign 12:{txt:(}0.0312{txt:)}}   {ralign 12:{txt:(}0.371{txt:)}}   {ralign 12:{txt:(}1.607{txt:)}}  {txt}
{hline 102}
{res}lns1_1_1                                                                                              {txt}
{txt}_cons       {res}       -2.422**       -0.330          0.521         -2.336**       -0.126          0.826  {txt}
            {res} {ralign 12:{txt:(}0.219{txt:)}}   {ralign 12:{txt:(}0.300{txt:)}}   {ralign 12:{txt:(}0.471{txt:)}}   {ralign 12:{txt:(}0.211{txt:)}}   {ralign 12:{txt:(}0.300{txt:)}}   {ralign 12:{txt:(}0.623{txt:)}}  {txt}
{hline 102}
{res}lnsig_e                                                                                               {txt}
{txt}_cons       {res}       -1.516**                                     -1.546**                              {txt}
            {res} {ralign 12:{txt:(}0.0287{txt:)}}                                 {ralign 12:{txt:(}0.0287{txt:)}}                                {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. * Table A16
. eststo: reg house1_percmin hcomm_index hfloor_index approps i.cong

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(17, 603)      = {res}     8.11
{txt}       Model {c |} {res} 13.5699336        17  .798231387   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 59.3519627       603  .098427799   {txt}R-squared       ={res}    0.1861
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1631
{txt}       Total {c |} {res} 72.9218963       620  .117615962   {txt}Root MSE        =   {res} .31373

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}house1_per~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .1021423{col 26}{space 2} .0381459{col 37}{space 1}    2.68{col 46}{space 3}0.008{col 54}{space 4} .0272273{col 67}{space 3} .1770574
{txt}hfloor_index {c |}{col 14}{res}{space 2}-.3182892{col 26}{space 2} .0494801{col 37}{space 1}   -6.43{col 46}{space 3}0.000{col 54}{space 4}-.4154635{col 67}{space 3}-.2211149
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.1247725{col 26}{space 2} .0274569{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-.1786954{col 67}{space 3}-.0708497
{txt}{space 12} {c |}
{space 8}cong {c |}
{space 8}101  {c |}{col 14}{res}{space 2}-.0256779{col 26}{space 2}  .064805{col 37}{space 1}   -0.40{col 46}{space 3}0.692{col 54}{space 4}-.1529488{col 67}{space 3} .1015929
{txt}{space 8}102  {c |}{col 14}{res}{space 2}-.0469967{col 26}{space 2} .0659751{col 37}{space 1}   -0.71{col 46}{space 3}0.477{col 54}{space 4}-.1765657{col 67}{space 3} .0825722
{txt}{space 8}103  {c |}{col 14}{res}{space 2}-.2644067{col 26}{space 2}  .065709{col 37}{space 1}   -4.02{col 46}{space 3}0.000{col 54}{space 4}-.3934531{col 67}{space 3}-.1353603
{txt}{space 8}104  {c |}{col 14}{res}{space 2}-.0976604{col 26}{space 2} .0677756{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.2307652{col 67}{space 3} .0354445
{txt}{space 8}105  {c |}{col 14}{res}{space 2}-.0459082{col 26}{space 2} .0780804{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.1992507{col 67}{space 3} .1074343
{txt}{space 8}106  {c |}{col 14}{res}{space 2}-.0913639{col 26}{space 2} .0678271{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.2245699{col 67}{space 3} .0418422
{txt}{space 8}107  {c |}{col 14}{res}{space 2} .0144493{col 26}{space 2} .0686606{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-.1203936{col 67}{space 3} .1492922
{txt}{space 8}108  {c |}{col 14}{res}{space 2}-.0404996{col 26}{space 2} .0752609{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-.1883049{col 67}{space 3} .1073058
{txt}{space 8}109  {c |}{col 14}{res}{space 2}-.0791961{col 26}{space 2}  .070309{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.2172763{col 67}{space 3} .0588842
{txt}{space 8}110  {c |}{col 14}{res}{space 2}-.0876173{col 26}{space 2} .0740736{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4} -.233091{col 67}{space 3} .0578563
{txt}{space 8}111  {c |}{col 14}{res}{space 2}-.3707652{col 26}{space 2} .0732343{col 37}{space 1}   -5.06{col 46}{space 3}0.000{col 54}{space 4}-.5145905{col 67}{space 3}-.2269399
{txt}{space 8}112  {c |}{col 14}{res}{space 2}-.1243125{col 26}{space 2} .0693891{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-.2605861{col 67}{space 3} .0119612
{txt}{space 8}113  {c |}{col 14}{res}{space 2}-.0151047{col 26}{space 2} .0885122{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.1889343{col 67}{space 3}  .158725
{txt}{space 8}114  {c |}{col 14}{res}{space 2} .0158683{col 26}{space 2} .0794243{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.1401134{col 67}{space 3} .1718501
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .8823781{col 26}{space 2} .0511984{col 37}{space 1}   17.23{col 46}{space 3}0.000{col 54}{space 4} .7818292{col 67}{space 3}  .982927
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: logit house1_pv50 hcomm_index hfloor_index approps i.cong

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-390.98534}  
Iteration 1:{space 3}log likelihood = {res: -350.0662}  
Iteration 2:{space 3}log likelihood = {res: -349.3654}  
Iteration 3:{space 3}log likelihood = {res:-349.36299}  
Iteration 4:{space 3}log likelihood = {res:-349.36299}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}     83.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-349.36299{txt}{col 49}Pseudo R2{col 67}= {res}    0.1065

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} house1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2}-.1392601{col 26}{space 2} .2700031{col 37}{space 1}   -0.52{col 46}{space 3}0.606{col 54}{space 4}-.6684565{col 67}{space 3} .3899362
{txt}hfloor_index {c |}{col 14}{res}{space 2} 1.723041{col 26}{space 2}   .35691{col 37}{space 1}    4.83{col 46}{space 3}0.000{col 54}{space 4} 1.023511{col 67}{space 3} 2.422572
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3996857{col 26}{space 2} .2042198{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4}-.0005778{col 67}{space 3} .7999493
{txt}{space 12} {c |}
{space 8}cong {c |}
{space 8}101  {c |}{col 14}{res}{space 2} .0194873{col 26}{space 2} .5784929{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-1.114338{col 67}{space 3} 1.153313
{txt}{space 8}102  {c |}{col 14}{res}{space 2} .0316474{col 26}{space 2} .5820811{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-1.109211{col 67}{space 3} 1.172505
{txt}{space 8}103  {c |}{col 14}{res}{space 2} 1.645767{col 26}{space 2} .5267016{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .6134506{col 67}{space 3} 2.678083
{txt}{space 8}104  {c |}{col 14}{res}{space 2} .8309331{col 26}{space 2} .5502767{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}-.2475893{col 67}{space 3} 1.909456
{txt}{space 8}105  {c |}{col 14}{res}{space 2} .7570582{col 26}{space 2} .6124817{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.4433838{col 67}{space 3}   1.9575
{txt}{space 8}106  {c |}{col 14}{res}{space 2} .7211801{col 26}{space 2} .5560804{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.3687175{col 67}{space 3} 1.811078
{txt}{space 8}107  {c |}{col 14}{res}{space 2} .1395798{col 26}{space 2} .5779473{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-.9931761{col 67}{space 3} 1.272336
{txt}{space 8}108  {c |}{col 14}{res}{space 2} .6590023{col 26}{space 2} .5992049{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-.5154177{col 67}{space 3} 1.833422
{txt}{space 8}109  {c |}{col 14}{res}{space 2} .6965297{col 26}{space 2} .5721341{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.4248325{col 67}{space 3} 1.817892
{txt}{space 8}110  {c |}{col 14}{res}{space 2}  .946679{col 26}{space 2} .5809282{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.1919194{col 67}{space 3} 2.085277
{txt}{space 8}111  {c |}{col 14}{res}{space 2} 1.935134{col 26}{space 2} .5792442{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .7998358{col 67}{space 3} 3.070431
{txt}{space 8}112  {c |}{col 14}{res}{space 2} 1.050161{col 26}{space 2} .5562901{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0401475{col 67}{space 3} 2.140469
{txt}{space 8}113  {c |}{col 14}{res}{space 2} 1.248117{col 26}{space 2} .6627205{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0507917{col 67}{space 3} 2.547025
{txt}{space 8}114  {c |}{col 14}{res}{space 2} .3301157{col 26}{space 2} .6357507{col 37}{space 1}    0.52{col 46}{space 3}0.604{col 54}{space 4}-.9159326{col 67}{space 3} 1.576164
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.153294{col 26}{space 2} .4605772{col 37}{space 1}   -4.68{col 46}{space 3}0.000{col 54}{space 4}-3.056009{col 67}{space 3}-1.250579
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: logit house1_pv90 hcomm_index hfloor_index approps, cluster(cong)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-166.49039}  
Iteration 1:{space 3}log pseudolikelihood = {res:-156.28751}  
Iteration 2:{space 3}log pseudolikelihood = {res:-153.79759}  
Iteration 3:{space 3}log pseudolikelihood = {res:-153.79634}  
Iteration 4:{space 3}log pseudolikelihood = {res:-153.79634}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     15.95
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0012
{txt}Log pseudolikelihood = {res}-153.79634{txt}{col 49}Pseudo R2{col 67}= {res}    0.0762

{txt}{ralign 78:(Std. Err. adjusted for {res:15} clusters in cong)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} house1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hcomm_index {c |}{col 14}{res}{space 2} .2158936{col 26}{space 2} .4273585{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.6217137{col 67}{space 3} 1.053501
{txt}hfloor_index {c |}{col 14}{res}{space 2} 2.264277{col 26}{space 2} .6256887{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4}  1.03795{col 67}{space 3} 3.490604
{txt}{space 5}approps {c |}{col 14}{res}{space 2} .3498757{col 26}{space 2} .4490633{col 37}{space 1}    0.78{col 46}{space 3}0.436{col 54}{space 4}-.5302723{col 67}{space 3} 1.230024
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.544697{col 26}{space 2} .4008258{col 37}{space 1}   -8.84{col 46}{space 3}0.000{col 54}{space 4}-4.330301{col 67}{space 3}-2.759093
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: reg housef_percmin allcomm_index allfloor_index approps i.cong 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(17, 603)      = {res}    10.45
{txt}       Model {c |} {res} 12.5645595        17  .739091736   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 42.6595426       603   .07074551   {txt}R-squared       ={res}    0.2275
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2057
{txt}       Total {c |} {res} 55.2241022       620  .089071133   {txt}Root MSE        =   {res} .26598

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}housef_percmin{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0729402{col 28}{space 2}  .036021{col 39}{space 1}    2.02{col 48}{space 3}0.043{col 56}{space 4} .0021984{col 69}{space 3}  .143682
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.3191852{col 28}{space 2} .0671673{col 39}{space 1}   -4.75{col 48}{space 3}0.000{col 56}{space 4}-.4510956{col 69}{space 3}-.1872749
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0324983{col 28}{space 2}  .023887{col 39}{space 1}   -1.36{col 48}{space 3}0.174{col 56}{space 4}-.0794101{col 69}{space 3} .0144135
{txt}{space 14} {c |}
{space 10}cong {c |}
{space 10}101  {c |}{col 16}{res}{space 2}-.0455381{col 28}{space 2}  .054931{col 39}{space 1}   -0.83{col 48}{space 3}0.407{col 56}{space 4}-.1534174{col 69}{space 3} .0623412
{txt}{space 10}102  {c |}{col 16}{res}{space 2}-.0584824{col 28}{space 2} .0559215{col 39}{space 1}   -1.05{col 48}{space 3}0.296{col 56}{space 4}-.1683071{col 69}{space 3} .0513422
{txt}{space 10}103  {c |}{col 16}{res}{space 2}-.2257843{col 28}{space 2} .0556791{col 39}{space 1}   -4.06{col 48}{space 3}0.000{col 56}{space 4}-.3351329{col 69}{space 3}-.1164357
{txt}{space 10}104  {c |}{col 16}{res}{space 2}-.0716376{col 28}{space 2} .0574678{col 39}{space 1}   -1.25{col 48}{space 3}0.213{col 56}{space 4}-.1844989{col 69}{space 3} .0412236
{txt}{space 10}105  {c |}{col 16}{res}{space 2} .0064713{col 28}{space 2} .0661913{col 39}{space 1}    0.10{col 48}{space 3}0.922{col 56}{space 4}-.1235221{col 69}{space 3} .1364647
{txt}{space 10}106  {c |}{col 16}{res}{space 2}-.0228272{col 28}{space 2} .0574621{col 39}{space 1}   -0.40{col 48}{space 3}0.691{col 56}{space 4}-.1356773{col 69}{space 3} .0900229
{txt}{space 10}107  {c |}{col 16}{res}{space 2}  .010016{col 28}{space 2} .0580768{col 39}{space 1}    0.17{col 48}{space 3}0.863{col 56}{space 4}-.1040413{col 69}{space 3} .1240733
{txt}{space 10}108  {c |}{col 16}{res}{space 2}-.1618385{col 28}{space 2} .0635467{col 39}{space 1}   -2.55{col 48}{space 3}0.011{col 56}{space 4}-.2866382{col 69}{space 3}-.0370387
{txt}{space 10}109  {c |}{col 16}{res}{space 2}-.1469673{col 28}{space 2} .0593661{col 39}{space 1}   -2.48{col 48}{space 3}0.014{col 56}{space 4}-.2635568{col 69}{space 3}-.0303778
{txt}{space 10}110  {c |}{col 16}{res}{space 2}  -.00522{col 28}{space 2} .0633404{col 39}{space 1}   -0.08{col 48}{space 3}0.934{col 56}{space 4}-.1296147{col 69}{space 3} .1191747
{txt}{space 10}111  {c |}{col 16}{res}{space 2}-.4420592{col 28}{space 2} .0635551{col 39}{space 1}   -6.96{col 48}{space 3}0.000{col 56}{space 4}-.5668754{col 69}{space 3}-.3172431
{txt}{space 10}112  {c |}{col 16}{res}{space 2}-.0984529{col 28}{space 2} .0594511{col 39}{space 1}   -1.66{col 48}{space 3}0.098{col 56}{space 4}-.2152093{col 69}{space 3} .0183036
{txt}{space 10}113  {c |}{col 16}{res}{space 2} .0545319{col 28}{space 2} .0761149{col 39}{space 1}    0.72{col 48}{space 3}0.474{col 56}{space 4}-.0949506{col 69}{space 3} .2040143
{txt}{space 10}114  {c |}{col 16}{res}{space 2} .0864393{col 28}{space 2} .0683269{col 39}{space 1}    1.27{col 48}{space 3}0.206{col 56}{space 4}-.0477484{col 69}{space 3} .2206269
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} .9252804{col 28}{space 2} .0441891{col 39}{space 1}   20.94{col 48}{space 3}0.000{col 56}{space 4} .8384971{col 69}{space 3} 1.012064
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. eststo: logit housef_pv50 allcomm_index allfloor_index approps i.cong

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-342.17452}  
Iteration 1:{space 3}log likelihood = {res:-298.13188}  
Iteration 2:{space 3}log likelihood = {res:-296.21533}  
Iteration 3:{space 3}log likelihood = {res:-296.19205}  
Iteration 4:{space 3}log likelihood = {res:-296.19204}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}LR chi2({res}17{txt}){col 67}= {res}     91.96
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-296.19204{txt}{col 49}Pseudo R2{col 67}= {res}    0.1344

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}-.0874733{col 28}{space 2} .3224044{col 39}{space 1}   -0.27{col 48}{space 3}0.786{col 56}{space 4}-.7193742{col 69}{space 3} .5444277
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.134337{col 28}{space 2} .6032112{col 39}{space 1}    3.54{col 48}{space 3}0.000{col 56}{space 4} .9520652{col 69}{space 3}  3.31661
{txt}{space 7}approps {c |}{col 16}{res}{space 2} -.090038{col 28}{space 2} .2333214{col 39}{space 1}   -0.39{col 48}{space 3}0.700{col 56}{space 4}-.5473395{col 69}{space 3} .3672636
{txt}{space 14} {c |}
{space 10}cong {c |}
{space 10}101  {c |}{col 16}{res}{space 2} .4413805{col 28}{space 2} .6538244{col 39}{space 1}    0.68{col 48}{space 3}0.500{col 56}{space 4}-.8400919{col 69}{space 3} 1.722853
{txt}{space 10}102  {c |}{col 16}{res}{space 2} .3647226{col 28}{space 2} .6697489{col 39}{space 1}    0.54{col 48}{space 3}0.586{col 56}{space 4}-.9479611{col 69}{space 3} 1.677406
{txt}{space 10}103  {c |}{col 16}{res}{space 2} 1.734199{col 28}{space 2} .6038706{col 39}{space 1}    2.87{col 48}{space 3}0.004{col 56}{space 4} .5506342{col 69}{space 3} 2.917763
{txt}{space 10}104  {c |}{col 16}{res}{space 2} .4062533{col 28}{space 2} .6729944{col 39}{space 1}    0.60{col 48}{space 3}0.546{col 56}{space 4}-.9127914{col 69}{space 3} 1.725298
{txt}{space 10}105  {c |}{col 16}{res}{space 2}-.3637673{col 28}{space 2} .9121768{col 39}{space 1}   -0.40{col 48}{space 3}0.690{col 56}{space 4}-2.151601{col 69}{space 3} 1.424066
{txt}{space 10}106  {c |}{col 16}{res}{space 2} -.081077{col 28}{space 2} .7150094{col 39}{space 1}   -0.11{col 48}{space 3}0.910{col 56}{space 4} -1.48247{col 69}{space 3} 1.320316
{txt}{space 10}107  {c |}{col 16}{res}{space 2} .1379733{col 28}{space 2} .6789355{col 39}{space 1}    0.20{col 48}{space 3}0.839{col 56}{space 4}-1.192716{col 69}{space 3} 1.468662
{txt}{space 10}108  {c |}{col 16}{res}{space 2} 1.231708{col 28}{space 2} .6595501{col 39}{space 1}    1.87{col 48}{space 3}0.062{col 56}{space 4}-.0609869{col 69}{space 3} 2.524402
{txt}{space 10}109  {c |}{col 16}{res}{space 2} 1.048633{col 28}{space 2} .6393301{col 39}{space 1}    1.64{col 48}{space 3}0.101{col 56}{space 4}-.2044315{col 69}{space 3} 2.301697
{txt}{space 10}110  {c |}{col 16}{res}{space 2} .4847488{col 28}{space 2} .6810253{col 39}{space 1}    0.71{col 48}{space 3}0.477{col 56}{space 4}-.8500363{col 69}{space 3} 1.819534
{txt}{space 10}111  {c |}{col 16}{res}{space 2} 2.326064{col 28}{space 2} .6562534{col 39}{space 1}    3.54{col 48}{space 3}0.000{col 56}{space 4} 1.039831{col 69}{space 3} 3.612297
{txt}{space 10}112  {c |}{col 16}{res}{space 2} 1.125245{col 28}{space 2} .6303451{col 39}{space 1}    1.79{col 48}{space 3}0.074{col 56}{space 4} -.110209{col 69}{space 3} 2.360698
{txt}{space 10}113  {c |}{col 16}{res}{space 2}  .698913{col 28}{space 2} .7495339{col 39}{space 1}    0.93{col 48}{space 3}0.351{col 56}{space 4}-.7701464{col 69}{space 3} 2.167972
{txt}{space 10}114  {c |}{col 16}{res}{space 2} .1323321{col 28}{space 2} .7356516{col 39}{space 1}    0.18{col 48}{space 3}0.857{col 56}{space 4}-1.309519{col 69}{space 3} 1.574183
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-2.459238{col 28}{space 2} .5438994{col 39}{space 1}   -4.52{col 48}{space 3}0.000{col 56}{space 4}-3.525261{col 69}{space 3}-1.393215
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}. eststo: logit housef_pv90 allcomm_index allfloor_index approps

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-91.763838}  
Iteration 1:{space 3}log likelihood = {res:-89.274397}  
Iteration 2:{space 3}log likelihood = {res:-79.088272}  
Iteration 3:{space 3}log likelihood = {res:-78.983592}  
Iteration 4:{space 3}log likelihood = {res:-78.983307}  
Iteration 5:{space 3}log likelihood = {res:-78.983307}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     25.56
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-78.983307{txt}{col 49}Pseudo R2{col 67}= {res}    0.1393

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   housef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2}  .140778{col 28}{space 2} .6229973{col 39}{space 1}    0.23{col 48}{space 3}0.821{col 56}{space 4}-1.080274{col 69}{space 3}  1.36183
{txt}allfloor_index {c |}{col 16}{res}{space 2} 4.008127{col 28}{space 2} .9603749{col 39}{space 1}    4.17{col 48}{space 3}0.000{col 56}{space 4} 2.125827{col 69}{space 3} 5.890427
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.6154924{col 28}{space 2} .5848916{col 39}{space 1}   -1.05{col 48}{space 3}0.293{col 56}{space 4}-1.761859{col 69}{space 3} .5308741
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-4.672041{col 28}{space 2} .4932076{col 39}{space 1}   -9.47{col 48}{space 3}0.000{col 56}{space 4} -5.63871{col 69}{space 3}-3.705372
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             house1_per~n    house1_pv50    house1_pv90   housef_per~n    housef_pv50    housef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}hcomm_index {res}        0.102**       -0.139          0.216                                               {txt}
            {res} {ralign 12:{txt:(}0.0381{txt:)}}   {ralign 12:{txt:(}0.270{txt:)}}   {ralign 12:{txt:(}0.427{txt:)}}                                               {txt}

{txt}hfloor_index{res}       -0.318**        1.723**        2.264**                                             {txt}
            {res} {ralign 12:{txt:(}0.0495{txt:)}}   {ralign 12:{txt:(}0.357{txt:)}}   {ralign 12:{txt:(}0.626{txt:)}}                                               {txt}

{txt}approps     {res}       -0.125**        0.400          0.350        -0.0325        -0.0900         -0.615  {txt}
            {res} {ralign 12:{txt:(}0.0275{txt:)}}   {ralign 12:{txt:(}0.204{txt:)}}   {ralign 12:{txt:(}0.449{txt:)}}   {ralign 12:{txt:(}0.0239{txt:)}}   {ralign 12:{txt:(}0.233{txt:)}}   {ralign 12:{txt:(}0.585{txt:)}}  {txt}

{txt}100.cong    {res}            0              0                             0              0                 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}                  {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}                 {txt}

{txt}101.cong    {res}      -0.0257         0.0195                       -0.0455          0.441                 {txt}
            {res} {ralign 12:{txt:(}0.0648{txt:)}}   {ralign 12:{txt:(}0.578{txt:)}}                  {ralign 12:{txt:(}0.0549{txt:)}}   {ralign 12:{txt:(}0.654{txt:)}}                 {txt}

{txt}102.cong    {res}      -0.0470         0.0316                       -0.0585          0.365                 {txt}
            {res} {ralign 12:{txt:(}0.0660{txt:)}}   {ralign 12:{txt:(}0.582{txt:)}}                  {ralign 12:{txt:(}0.0559{txt:)}}   {ralign 12:{txt:(}0.670{txt:)}}                 {txt}

{txt}103.cong    {res}       -0.264**        1.646**                      -0.226**        1.734**               {txt}
            {res} {ralign 12:{txt:(}0.0657{txt:)}}   {ralign 12:{txt:(}0.527{txt:)}}                  {ralign 12:{txt:(}0.0557{txt:)}}   {ralign 12:{txt:(}0.604{txt:)}}                 {txt}

{txt}104.cong    {res}      -0.0977          0.831                       -0.0716          0.406                 {txt}
            {res} {ralign 12:{txt:(}0.0678{txt:)}}   {ralign 12:{txt:(}0.550{txt:)}}                  {ralign 12:{txt:(}0.0575{txt:)}}   {ralign 12:{txt:(}0.673{txt:)}}                 {txt}

{txt}105.cong    {res}      -0.0459          0.757                       0.00647         -0.364                 {txt}
            {res} {ralign 12:{txt:(}0.0781{txt:)}}   {ralign 12:{txt:(}0.612{txt:)}}                  {ralign 12:{txt:(}0.0662{txt:)}}   {ralign 12:{txt:(}0.912{txt:)}}                 {txt}

{txt}106.cong    {res}      -0.0914          0.721                       -0.0228        -0.0811                 {txt}
            {res} {ralign 12:{txt:(}0.0678{txt:)}}   {ralign 12:{txt:(}0.556{txt:)}}                  {ralign 12:{txt:(}0.0575{txt:)}}   {ralign 12:{txt:(}0.715{txt:)}}                 {txt}

{txt}107.cong    {res}       0.0144          0.140                        0.0100          0.138                 {txt}
            {res} {ralign 12:{txt:(}0.0687{txt:)}}   {ralign 12:{txt:(}0.578{txt:)}}                  {ralign 12:{txt:(}0.0581{txt:)}}   {ralign 12:{txt:(}0.679{txt:)}}                 {txt}

{txt}108.cong    {res}      -0.0405          0.659                        -0.162*         1.232                 {txt}
            {res} {ralign 12:{txt:(}0.0753{txt:)}}   {ralign 12:{txt:(}0.599{txt:)}}                  {ralign 12:{txt:(}0.0635{txt:)}}   {ralign 12:{txt:(}0.660{txt:)}}                 {txt}

{txt}109.cong    {res}      -0.0792          0.697                        -0.147*         1.049                 {txt}
            {res} {ralign 12:{txt:(}0.0703{txt:)}}   {ralign 12:{txt:(}0.572{txt:)}}                  {ralign 12:{txt:(}0.0594{txt:)}}   {ralign 12:{txt:(}0.639{txt:)}}                 {txt}

{txt}110.cong    {res}      -0.0876          0.947                      -0.00522          0.485                 {txt}
            {res} {ralign 12:{txt:(}0.0741{txt:)}}   {ralign 12:{txt:(}0.581{txt:)}}                  {ralign 12:{txt:(}0.0633{txt:)}}   {ralign 12:{txt:(}0.681{txt:)}}                 {txt}

{txt}111.cong    {res}       -0.371**        1.935**                      -0.442**        2.326**               {txt}
            {res} {ralign 12:{txt:(}0.0732{txt:)}}   {ralign 12:{txt:(}0.579{txt:)}}                  {ralign 12:{txt:(}0.0636{txt:)}}   {ralign 12:{txt:(}0.656{txt:)}}                 {txt}

{txt}112.cong    {res}       -0.124          1.050                       -0.0985          1.125                 {txt}
            {res} {ralign 12:{txt:(}0.0694{txt:)}}   {ralign 12:{txt:(}0.556{txt:)}}                  {ralign 12:{txt:(}0.0595{txt:)}}   {ralign 12:{txt:(}0.630{txt:)}}                 {txt}

{txt}113.cong    {res}      -0.0151          1.248                        0.0545          0.699                 {txt}
            {res} {ralign 12:{txt:(}0.0885{txt:)}}   {ralign 12:{txt:(}0.663{txt:)}}                  {ralign 12:{txt:(}0.0761{txt:)}}   {ralign 12:{txt:(}0.750{txt:)}}                 {txt}

{txt}114.cong    {res}       0.0159          0.330                        0.0864          0.132                 {txt}
            {res} {ralign 12:{txt:(}0.0794{txt:)}}   {ralign 12:{txt:(}0.636{txt:)}}                  {ralign 12:{txt:(}0.0683{txt:)}}   {ralign 12:{txt:(}0.736{txt:)}}                 {txt}

{txt}allcomm_in~x{res}                                                    0.0729*       -0.0875          0.141  {txt}
            {res}                                              {ralign 12:{txt:(}0.0360{txt:)}}   {ralign 12:{txt:(}0.322{txt:)}}   {ralign 12:{txt:(}0.623{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.319**        2.134**        4.008**{txt}
            {res}                                              {ralign 12:{txt:(}0.0672{txt:)}}   {ralign 12:{txt:(}0.603{txt:)}}   {ralign 12:{txt:(}0.960{txt:)}}  {txt}

{txt}_cons       {res}        0.882**       -2.153**       -3.545**        0.925**       -2.459**       -4.672**{txt}
            {res} {ralign 12:{txt:(}0.0512{txt:)}}   {ralign 12:{txt:(}0.461{txt:)}}   {ralign 12:{txt:(}0.401{txt:)}}   {ralign 12:{txt:(}0.0442{txt:)}}   {ralign 12:{txt:(}0.544{txt:)}}   {ralign 12:{txt:(}0.493{txt:)}}  {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear 
{txt}
{com}. 
. * Table A17
. eststo: reg senate1_percmin scomm_index sfloor_index approps i.cong

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(17, 603)      = {res}     8.96
{txt}       Model {c |} {res} 7.36615634        17  .433303314   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 29.1704944       603  .048375613   {txt}R-squared       ={res}    0.2016
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1791
{txt}       Total {c |} {res} 36.5366508       620  .058930082   {txt}Root MSE        =   {res} .21994

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senate1_pe~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2}-.0302332{col 26}{space 2} .0237115{col 37}{space 1}   -1.28{col 46}{space 3}0.203{col 54}{space 4}-.0768003{col 67}{space 3}  .016334
{txt}sfloor_index {c |}{col 14}{res}{space 2}-.1678945{col 26}{space 2} .0412638{col 37}{space 1}   -4.07{col 46}{space 3}0.000{col 54}{space 4}-.2489326{col 67}{space 3}-.0868563
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.0115249{col 26}{space 2} .0195924{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0500025{col 67}{space 3} .0269527
{txt}{space 12} {c |}
{space 8}cong {c |}
{space 8}101  {c |}{col 14}{res}{space 2} .0272429{col 26}{space 2} .0454273{col 37}{space 1}    0.60{col 46}{space 3}0.549{col 54}{space 4}-.0619719{col 67}{space 3} .1164578
{txt}{space 8}102  {c |}{col 14}{res}{space 2} .0028593{col 26}{space 2} .0462468{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.0879651{col 67}{space 3} .0936838
{txt}{space 8}103  {c |}{col 14}{res}{space 2}-.1209086{col 26}{space 2} .0460462{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.2113389{col 67}{space 3}-.0304783
{txt}{space 8}104  {c |}{col 14}{res}{space 2}-.0174069{col 26}{space 2}  .047512{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.1107159{col 67}{space 3} .0759022
{txt}{space 8}105  {c |}{col 14}{res}{space 2} .0972907{col 26}{space 2} .0547237{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0101816{col 67}{space 3}  .204763
{txt}{space 8}106  {c |}{col 14}{res}{space 2} .0658976{col 26}{space 2} .0474979{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0273838{col 67}{space 3} .1591791
{txt}{space 8}107  {c |}{col 14}{res}{space 2} .0358649{col 26}{space 2} .0476694{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-.0577532{col 67}{space 3}  .129483
{txt}{space 8}108  {c |}{col 14}{res}{space 2}-.0283865{col 26}{space 2} .0523678{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4} -.131232{col 67}{space 3}  .074459
{txt}{space 8}109  {c |}{col 14}{res}{space 2} .0048128{col 26}{space 2}  .048955{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.0913301{col 67}{space 3} .1009558
{txt}{space 8}110  {c |}{col 14}{res}{space 2} .0218655{col 26}{space 2} .0517653{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-.0797967{col 67}{space 3} .1235277
{txt}{space 8}111  {c |}{col 14}{res}{space 2}-.2478272{col 26}{space 2} .0511693{col 37}{space 1}   -4.84{col 46}{space 3}0.000{col 54}{space 4}-.3483189{col 67}{space 3}-.1473355
{txt}{space 8}112  {c |}{col 14}{res}{space 2} .0363057{col 26}{space 2} .0484569{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4} -.058859{col 67}{space 3} .1314704
{txt}{space 8}113  {c |}{col 14}{res}{space 2}-.2302116{col 26}{space 2} .0613369{col 37}{space 1}   -3.75{col 46}{space 3}0.000{col 54}{space 4}-.3506714{col 67}{space 3}-.1097518
{txt}{space 8}114  {c |}{col 14}{res}{space 2} .0721468{col 26}{space 2} .0555338{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0369164{col 67}{space 3}   .18121
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .9064111{col 26}{space 2} .0360196{col 37}{space 1}   25.16{col 46}{space 3}0.000{col 54}{space 4} .8356719{col 67}{space 3} .9771502
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: logit senate1_pv50 scomm_index sfloor_index approps, cluster(cong)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-246.08701}  
Iteration 1:{space 3}log pseudolikelihood = {res: -228.1458}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -224.838}  
Iteration 3:{space 3}log pseudolikelihood = {res:-224.83348}  
Iteration 4:{space 3}log pseudolikelihood = {res:-224.83348}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     28.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-224.83348{txt}{col 49}Pseudo R2{col 67}= {res}    0.0864

{txt}{ralign 78:(Std. Err. adjusted for {res:15} clusters in cong)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}senate1_pv50{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} .7982189{col 26}{space 2} .4700108{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.1229853{col 67}{space 3} 1.719423
{txt}sfloor_index {c |}{col 14}{res}{space 2} 2.084171{col 26}{space 2} .5015512{col 37}{space 1}    4.16{col 46}{space 3}0.000{col 54}{space 4} 1.101149{col 67}{space 3} 3.067193
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-.2427745{col 26}{space 2} .3563591{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.9412255{col 67}{space 3} .4556766
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.462888{col 26}{space 2} .4368313{col 37}{space 1}   -5.64{col 46}{space 3}0.000{col 54}{space 4}-3.319061{col 67}{space 3}-1.606714
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: logit senate1_pv90 scomm_index sfloor_index approps, cluster(cong)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-70.666577}  
Iteration 1:{space 3}log pseudolikelihood = {res:-62.205755}  
Iteration 2:{space 3}log pseudolikelihood = {res: -59.95481}  
Iteration 3:{space 3}log pseudolikelihood = {res:-59.897933}  
Iteration 4:{space 3}log pseudolikelihood = {res:-59.897882}  
Iteration 5:{space 3}log pseudolikelihood = {res:-59.897882}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     37.13
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-59.897882{txt}{col 49}Pseudo R2{col 67}= {res}    0.1524

{txt}{ralign 78:(Std. Err. adjusted for {res:15} clusters in cong)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}senate1_pv90{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}scomm_index {c |}{col 14}{res}{space 2} 1.525343{col 26}{space 2} .4481018{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .6470796{col 67}{space 3} 2.403606
{txt}sfloor_index {c |}{col 14}{res}{space 2}   2.3842{col 26}{space 2} .6737441{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} 1.063686{col 67}{space 3} 3.704714
{txt}{space 5}approps {c |}{col 14}{res}{space 2}-1.060189{col 26}{space 2} .4655814{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}-1.972712{col 67}{space 3}-.1476663
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.777366{col 26}{space 2}  .636631{col 37}{space 1}   -7.50{col 46}{space 3}0.000{col 54}{space 4} -6.02514{col 67}{space 3}-3.529592
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: reg senatef_percmin allcomm_index allfloor_index approps i.cong

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       621
{txt}{hline 13}{c +}{hline 34}   F(17, 603)      = {res}    11.42
{txt}       Model {c |} {res} 8.85003758        17  .520590446   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 27.4866059       603  .045583094   {txt}R-squared       ={res}    0.2436
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2222
{txt}       Total {c |} {res} 36.3366434       620  .058607489   {txt}Root MSE        =   {res}  .2135

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}senatef_perc~n{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .0125972{col 28}{space 2}  .028914{col 39}{space 1}    0.44{col 48}{space 3}0.663{col 56}{space 4}-.0441872{col 69}{space 3} .0693815
{txt}allfloor_index {c |}{col 16}{res}{space 2}-.1997313{col 28}{space 2} .0539151{col 39}{space 1}   -3.70{col 48}{space 3}0.000{col 56}{space 4}-.3056156{col 69}{space 3}-.0938471
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0092698{col 28}{space 2}  .019174{col 39}{space 1}   -0.48{col 48}{space 3}0.629{col 56}{space 4}-.0469259{col 69}{space 3} .0283862
{txt}{space 14} {c |}
{space 10}cong {c |}
{space 10}101  {c |}{col 16}{res}{space 2}-.0092904{col 28}{space 2}  .044093{col 39}{space 1}   -0.21{col 48}{space 3}0.833{col 56}{space 4}-.0958849{col 69}{space 3} .0773042
{txt}{space 10}102  {c |}{col 16}{res}{space 2}-.0274108{col 28}{space 2} .0448881{col 39}{space 1}   -0.61{col 48}{space 3}0.542{col 56}{space 4}-.1155668{col 69}{space 3} .0607452
{txt}{space 10}103  {c |}{col 16}{res}{space 2}-.1727721{col 28}{space 2} .0446936{col 39}{space 1}   -3.87{col 48}{space 3}0.000{col 56}{space 4}-.2605461{col 69}{space 3}-.0849982
{txt}{space 10}104  {c |}{col 16}{res}{space 2}-.1237067{col 28}{space 2} .0461293{col 39}{space 1}   -2.68{col 48}{space 3}0.008{col 56}{space 4}-.2143003{col 69}{space 3}-.0331131
{txt}{space 10}105  {c |}{col 16}{res}{space 2} -.014752{col 28}{space 2} .0531316{col 39}{space 1}   -0.28{col 48}{space 3}0.781{col 56}{space 4}-.1190976{col 69}{space 3} .0895935
{txt}{space 10}106  {c |}{col 16}{res}{space 2}-.0543626{col 28}{space 2} .0461247{col 39}{space 1}   -1.18{col 48}{space 3}0.239{col 56}{space 4}-.1449472{col 69}{space 3}  .036222
{txt}{space 10}107  {c |}{col 16}{res}{space 2}-.0427401{col 28}{space 2} .0466181{col 39}{space 1}   -0.92{col 48}{space 3}0.360{col 56}{space 4}-.1342937{col 69}{space 3} .0488135
{txt}{space 10}108  {c |}{col 16}{res}{space 2}-.1416873{col 28}{space 2} .0510089{col 39}{space 1}   -2.78{col 48}{space 3}0.006{col 56}{space 4}-.2418639{col 69}{space 3}-.0415107
{txt}{space 10}109  {c |}{col 16}{res}{space 2}-.1063105{col 28}{space 2} .0476531{col 39}{space 1}   -2.23{col 48}{space 3}0.026{col 56}{space 4}-.1998967{col 69}{space 3}-.0127243
{txt}{space 10}110  {c |}{col 16}{res}{space 2}-.0445178{col 28}{space 2} .0508433{col 39}{space 1}   -0.88{col 48}{space 3}0.382{col 56}{space 4}-.1443692{col 69}{space 3} .0553336
{txt}{space 10}111  {c |}{col 16}{res}{space 2}-.3755506{col 28}{space 2} .0510156{col 39}{space 1}   -7.36{col 48}{space 3}0.000{col 56}{space 4}-.4757404{col 69}{space 3}-.2753608
{txt}{space 10}112  {c |}{col 16}{res}{space 2}-.0787172{col 28}{space 2} .0477213{col 39}{space 1}   -1.65{col 48}{space 3}0.100{col 56}{space 4}-.1724374{col 69}{space 3}  .015003
{txt}{space 10}113  {c |}{col 16}{res}{space 2} -.278071{col 28}{space 2} .0610973{col 39}{space 1}   -4.55{col 48}{space 3}0.000{col 56}{space 4}-.3980604{col 69}{space 3}-.1580817
{txt}{space 10}114  {c |}{col 16}{res}{space 2} .0150456{col 28}{space 2} .0548459{col 39}{space 1}    0.27{col 48}{space 3}0.784{col 56}{space 4}-.0926666{col 69}{space 3} .1227578
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}   1.0026{col 28}{space 2} .0354706{col 39}{space 1}   28.27{col 48}{space 3}0.000{col 56}{space 4} .9329393{col 69}{space 3} 1.072261
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. eststo: logit senatef_pv50 allcomm_index allfloor_index approps, cluster(cong)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-238.55464}  
Iteration 1:{space 3}log pseudolikelihood = {res:-217.97358}  
Iteration 2:{space 3}log pseudolikelihood = {res:-214.46413}  
Iteration 3:{space 3}log pseudolikelihood = {res:-214.45515}  
Iteration 4:{space 3}log pseudolikelihood = {res:-214.45515}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     30.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-214.45515{txt}{col 49}Pseudo R2{col 67}= {res}    0.1010

{txt}{ralign 80:(Std. Err. adjusted for {res:15} clusters in cong)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}  senatef_pv50{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} .5156135{col 28}{space 2} .4828847{col 39}{space 1}    1.07{col 48}{space 3}0.286{col 56}{space 4}-.4308231{col 69}{space 3}  1.46205
{txt}allfloor_index {c |}{col 16}{res}{space 2} 2.971528{col 28}{space 2} .5999886{col 39}{space 1}    4.95{col 48}{space 3}0.000{col 56}{space 4} 1.795572{col 69}{space 3} 4.147484
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-.0790092{col 28}{space 2} .4054675{col 39}{space 1}   -0.19{col 48}{space 3}0.846{col 56}{space 4}-.8737109{col 69}{space 3} .7156924
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-2.954768{col 28}{space 2} .4480494{col 39}{space 1}   -6.59{col 48}{space 3}0.000{col 56}{space 4}-3.832929{col 69}{space 3}-2.076608
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}. eststo: logit senatef_pv90 allcomm_index allfloor_index approps, cluster(cong)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-66.932823}  
Iteration 1:{space 3}log pseudolikelihood = {res: -63.50942}  
Iteration 2:{space 3}log pseudolikelihood = {res:-55.871327}  
Iteration 3:{space 3}log pseudolikelihood = {res:-55.644255}  
Iteration 4:{space 3}log pseudolikelihood = {res:-55.640562}  
Iteration 5:{space 3}log pseudolikelihood = {res:-55.640558}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       621
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     55.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-55.640558{txt}{col 49}Pseudo R2{col 67}= {res}    0.1687

{txt}{ralign 80:(Std. Err. adjusted for {res:15} clusters in cong)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}  senatef_pv90{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}allcomm_index {c |}{col 16}{res}{space 2} 1.185575{col 28}{space 2} .5708437{col 39}{space 1}    2.08{col 48}{space 3}0.038{col 56}{space 4} .0667423{col 69}{space 3} 2.304408
{txt}allfloor_index {c |}{col 16}{res}{space 2} 3.252892{col 28}{space 2} .6333496{col 39}{space 1}    5.14{col 48}{space 3}0.000{col 56}{space 4} 2.011549{col 69}{space 3} 4.494234
{txt}{space 7}approps {c |}{col 16}{res}{space 2}-1.870026{col 28}{space 2} .4331214{col 39}{space 1}   -4.32{col 48}{space 3}0.000{col 56}{space 4}-2.718928{col 69}{space 3}-1.021123
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-5.121511{col 28}{space 2} .7827991{col 39}{space 1}   -6.54{col 48}{space 3}0.000{col 56}{space 4}-6.655769{col 69}{space 3}-3.587253
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, se star(* 0.05 ** 0.01)
{res}
{txt}{hline 102}
{txt}                      (1)            (2)            (3)            (4)            (5)            (6)  
{txt}             senate1_pe~n   senate1_pv50   senate1_pv90   senatef_pe~n   senatef_pv50   senatef_pv90  
{txt}{hline 102}
{res}main                                                                                                  {txt}
{txt}scomm_index {res}      -0.0302          0.798          1.525**                                             {txt}
            {res} {ralign 12:{txt:(}0.0237{txt:)}}   {ralign 12:{txt:(}0.470{txt:)}}   {ralign 12:{txt:(}0.448{txt:)}}                                               {txt}

{txt}sfloor_index{res}       -0.168**        2.084**        2.384**                                             {txt}
            {res} {ralign 12:{txt:(}0.0413{txt:)}}   {ralign 12:{txt:(}0.502{txt:)}}   {ralign 12:{txt:(}0.674{txt:)}}                                               {txt}

{txt}approps     {res}      -0.0115         -0.243         -1.060*      -0.00927        -0.0790         -1.870**{txt}
            {res} {ralign 12:{txt:(}0.0196{txt:)}}   {ralign 12:{txt:(}0.356{txt:)}}   {ralign 12:{txt:(}0.466{txt:)}}   {ralign 12:{txt:(}0.0192{txt:)}}   {ralign 12:{txt:(}0.405{txt:)}}   {ralign 12:{txt:(}0.433{txt:)}}  {txt}

{txt}100.cong    {res}            0                                            0                                {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                 {ralign 12:{txt:(}.{txt:)}}                                {txt}

{txt}101.cong    {res}       0.0272                                     -0.00929                                {txt}
            {res} {ralign 12:{txt:(}0.0454{txt:)}}                                 {ralign 12:{txt:(}0.0441{txt:)}}                                {txt}

{txt}102.cong    {res}      0.00286                                      -0.0274                                {txt}
            {res} {ralign 12:{txt:(}0.0462{txt:)}}                                 {ralign 12:{txt:(}0.0449{txt:)}}                                {txt}

{txt}103.cong    {res}       -0.121**                                     -0.173**                              {txt}
            {res} {ralign 12:{txt:(}0.0460{txt:)}}                                 {ralign 12:{txt:(}0.0447{txt:)}}                                {txt}

{txt}104.cong    {res}      -0.0174                                       -0.124**                              {txt}
            {res} {ralign 12:{txt:(}0.0475{txt:)}}                                 {ralign 12:{txt:(}0.0461{txt:)}}                                {txt}

{txt}105.cong    {res}       0.0973                                      -0.0148                                {txt}
            {res} {ralign 12:{txt:(}0.0547{txt:)}}                                 {ralign 12:{txt:(}0.0531{txt:)}}                                {txt}

{txt}106.cong    {res}       0.0659                                      -0.0544                                {txt}
            {res} {ralign 12:{txt:(}0.0475{txt:)}}                                 {ralign 12:{txt:(}0.0461{txt:)}}                                {txt}

{txt}107.cong    {res}       0.0359                                      -0.0427                                {txt}
            {res} {ralign 12:{txt:(}0.0477{txt:)}}                                 {ralign 12:{txt:(}0.0466{txt:)}}                                {txt}

{txt}108.cong    {res}      -0.0284                                       -0.142**                              {txt}
            {res} {ralign 12:{txt:(}0.0524{txt:)}}                                 {ralign 12:{txt:(}0.0510{txt:)}}                                {txt}

{txt}109.cong    {res}      0.00481                                       -0.106*                               {txt}
            {res} {ralign 12:{txt:(}0.0490{txt:)}}                                 {ralign 12:{txt:(}0.0477{txt:)}}                                {txt}

{txt}110.cong    {res}       0.0219                                      -0.0445                                {txt}
            {res} {ralign 12:{txt:(}0.0518{txt:)}}                                 {ralign 12:{txt:(}0.0508{txt:)}}                                {txt}

{txt}111.cong    {res}       -0.248**                                     -0.376**                              {txt}
            {res} {ralign 12:{txt:(}0.0512{txt:)}}                                 {ralign 12:{txt:(}0.0510{txt:)}}                                {txt}

{txt}112.cong    {res}       0.0363                                      -0.0787                                {txt}
            {res} {ralign 12:{txt:(}0.0485{txt:)}}                                 {ralign 12:{txt:(}0.0477{txt:)}}                                {txt}

{txt}113.cong    {res}       -0.230**                                     -0.278**                              {txt}
            {res} {ralign 12:{txt:(}0.0613{txt:)}}                                 {ralign 12:{txt:(}0.0611{txt:)}}                                {txt}

{txt}114.cong    {res}       0.0721                                       0.0150                                {txt}
            {res} {ralign 12:{txt:(}0.0555{txt:)}}                                 {ralign 12:{txt:(}0.0548{txt:)}}                                {txt}

{txt}allcomm_in~x{res}                                                    0.0126          0.516          1.186* {txt}
            {res}                                              {ralign 12:{txt:(}0.0289{txt:)}}   {ralign 12:{txt:(}0.483{txt:)}}   {ralign 12:{txt:(}0.571{txt:)}}  {txt}

{txt}allfloor_i~x{res}                                                    -0.200**        2.972**        3.253**{txt}
            {res}                                              {ralign 12:{txt:(}0.0539{txt:)}}   {ralign 12:{txt:(}0.600{txt:)}}   {ralign 12:{txt:(}0.633{txt:)}}  {txt}

{txt}_cons       {res}        0.906**       -2.463**       -4.777**        1.003**       -2.955**       -5.122**{txt}
            {res} {ralign 12:{txt:(}0.0360{txt:)}}   {ralign 12:{txt:(}0.437{txt:)}}   {ralign 12:{txt:(}0.637{txt:)}}   {ralign 12:{txt:(}0.0355{txt:)}}   {ralign 12:{txt:(}0.448{txt:)}}   {ralign 12:{txt:(}0.783{txt:)}}  {txt}
{txt}{hline 102}
{txt}N           {res}          621            621            621            621            621            621  {txt}
{txt}{hline 102}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01

{com}. eststo clear
{txt}
{com}. 
. 
. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\u0844867\Dropbox\Non-Party Government\Working papers\Regular order paper\JOP submission\_FINAL SUBMISSION\data and logs\currylee-JOP-StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 6 Dec 2018, 13:35:14
{txt}{.-}
{smcl}
{txt}{sf}{ul off}